├── README.md ├── 数字图像处理实习 ├── code │ ├── HISfuse.h │ ├── HPfusion.h │ ├── filter.h │ ├── geometry.h │ ├── linear_trans.h │ ├── read_write.h │ ├── subplot.h │ └── 源.cpp ├── data │ ├── BIL_856cols_743rows_6bands_byte │ ├── BIP_856cols_743rows_6bands_byte │ ├── BSQ_856cols_743rows_6bands_byte │ ├── ik_beijing_c.bmp │ ├── ik_beijing_p.bmp │ └── 标准图像1024-1024.raw └── results │ ├── 1.0.pptx │ ├── BIL-3-5波段.bmp │ ├── 低通滤波.jpg │ ├── 标准图像1024-1024.bmp │ ├── 高通滤波+FFD.bmp │ └── 高通滤波.jpg ├── 数字摄影测量实习 ├── code │ ├── DEM.cpp │ ├── DEM.h │ ├── main.cpp │ └── visualize.m ├── data │ ├── DPEX_Data09 │ │ ├── DDEM格式说明.txt │ │ └── rock1.ddem │ └── DPEX_Data11 │ │ ├── DDEM格式说明.txt │ │ ├── DEM(VZ)格式说明.txt │ │ ├── DEM(VZ)格式说明.txt.bak │ │ ├── rock1.ddem │ │ ├── rock1.orl.bmp │ │ └── 正射影像文件说明.txt └── results │ ├── lines.txt │ ├── matlab_visual.png │ └── osg_visual.png ├── 数据结构实习 ├── code │ ├── Timer.h │ └── 源.cpp ├── data │ ├── cities.csv │ └── routes.csv └── results │ └── MyVisualGraph.htm ├── 解析摄影测量实习 ├── code │ ├── AOrientation.cpp │ ├── BAdjustment.cpp │ ├── Bundle.cpp │ ├── FSanction.cpp │ ├── Gram.cpp │ ├── Gram.h │ ├── IOrientation.cpp │ ├── ROrientation.cpp │ └── main.cpp └── data │ └── tieEdit │ ├── 0319.tif.dpg.pxy │ ├── 0319.tif.siop │ ├── 0320.tif.dpg.pxy │ ├── 0321.tif.dpg.pxy │ ├── 0332.tif.dpg.pxy │ ├── 0333.tif.dpg.pxy │ ├── 0334.tif.dpg.pxy │ └── adjustment │ └── WuCAPS │ ├── ADJRES.JBF │ ├── ADJRES.ORO │ ├── BBAPH.DAT │ ├── BBAPI.DAT │ ├── BBAPM.DAT │ ├── BBAPP.DAT │ ├── CABBA.LST │ ├── CABBA.RES │ ├── CAFFS.LST │ ├── CAFFS.RES │ ├── CAPPO.LST │ ├── CAPPO.RES │ ├── CAPRE.LST │ ├── CAPRE.RES │ ├── CAPREC.DAT │ ├── CAPREG.DAT │ ├── CAPREJ.DAT │ ├── CAPREO.DAT │ ├── CAPREP.DAT │ ├── GF10.DAT │ ├── GF20.DAT │ ├── GF40.DAT │ ├── GF50.DAT │ ├── GINVE1.DAT │ └── GINVE2.DAT ├── 近景摄影测量实习 ├── code │ ├── DLT.cpp │ ├── DLT.h │ ├── RSanction.cpp │ ├── RSanction.h │ ├── main.cpp │ └── struct.h ├── data │ ├── gcp_left_hand.txt │ ├── gcp_left_hand2.txt │ ├── measure.txt │ └── measure2.txt └── results │ ├── cmd.txt │ ├── residual_left.txt │ ├── residual_right.txt │ └── residual_rsanction.txt └── 遥感原理实习 ├── IndexAnalysis ├── code │ └── 源.cpp ├── data │ ├── tm1.tif │ ├── tm2.tif │ ├── tm3.tif │ ├── tm4.tif │ ├── tm5.tif │ ├── tm6.tif │ └── tm7.tif └── results │ ├── 修改归一化水体指数.jpg │ ├── 修改归一化水体指数_seg.jpg │ ├── 土壤调节植被指数.jpg │ ├── 土壤调节植被指数_seg.jpg │ ├── 建筑用地指数.jpg │ ├── 建筑用地指数_seg.jpg │ ├── 归一化植被指数.jpg │ ├── 归一化植被指数_seg.jpg │ ├── 归一化裸地指数.jpg │ ├── 归一化裸地指数_seg.jpg │ ├── 自动水体提取指数.jpg │ └── 自动水体提取指数_seg.jpg └── ShadowDetection ├── code └── 源.cpp ├── data └── Color.bmp └── results ├── 合并前基于C1C2C3空间的阴影检测.jpg ├── 合并前基于HSV空间的阴影检测.jpg ├── 合并后基于C1C2C3空间的阴影检测.jpg └── 合并后基于HSV空间的阴影检测.jpg /README.md: -------------------------------------------------------------------------------- 1 | # 💻 遥感院实习代码合集 2 | 3 | 2018-2022 本科课程实习内容 4 | 5 | **具体内容 TBD** 6 | 7 | ## 数据结构实习(2019.6) 8 | 9 | * Dijkstra 10 | * DFS 11 | * Visualize 12 | 13 | ## 数字图像处理实习(2020.1) 14 | 15 | * RAW遥感影像读取 16 | * 图像旋转 平移 缩放 17 | * HIS假彩色 18 | 19 | (.h文件写的有亿点乱) 20 | 21 | ## 遥感原理实习(2020.6) 22 | 23 | * 多光谱指数分析 24 | * 阴影检测 25 | 26 | ## 解析摄影测量实习(2021.1) 27 | 28 | * 单片空间后方交会 29 | * 多片空间前方交会 30 | * 相对定向 31 | * 绝对定向 32 | * 光束法平差(QR分解) 33 | 34 | ## 近景摄影测量实习(2021.5) 35 | 36 | 求解影像外方位元素、畸变参数、相机内方位元素及待定点坐标 37 | 38 | * DLT 39 | * 空间后方交会 40 | 41 | ## 数字摄影测量实习(2021.6) 42 | 43 | T9 DEM生成等高线 44 | 45 | T11 DEM和正射影像的三维显示 46 | 47 | * 等高线追踪算法 48 | * OSG三维显示[(pre-compiled Open Scene Graph)](https://objexx.com/OpenSceneGraph.html) 49 | -------------------------------------------------------------------------------- /数字图像处理实习/code/HISfuse.h: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Charrrrrlie/PracticalCourse/de12028ec5f06fcb2519250a59bbc529f95717e9/数字图像处理实习/code/HISfuse.h -------------------------------------------------------------------------------- /数字图像处理实习/code/HPfusion.h: 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Indies,17.3333,-61.8 8 | Argentina,Buenos Aires,-36.5,-60 9 | Armenia,Yerevan,40.1667,44.5167 10 | Aruba,Oranjestad,12.5333,-70.0333 11 | Australia,Canberra (Use Sydney),-35.25,149.133 12 | Austria,Vienna,48.2,16.3667 13 | Azerbaijan,Baku,40.4833,49.9333 14 | Bahamas,Nassau,25.0833,-77.3333 15 | Bahrain,Manama,26.1667,50.5 16 | Bangladesh,Dhaka,23.7167,90.4333 17 | Barbados,Bridgetown,13.0833,-59.5 18 | Belarus,Minsk,53.8667,27.5 19 | Belgium,Brussels,50.85,4.35 20 | Belize,Belmopan,17.3,-88.5 21 | Benin,Porto-Novo,6.38333,2.7 22 | Bhutan,Thimphu,27.5167,89.75 23 | Bolivia,La Paz,-16.3333,-68.1667 24 | Bosnia and Herzegovina,Sarajevo,43.8667,18.4333 25 | Botswana,Gaborone,-24.75,25.95 26 | Brazil,Brasilia,-15.7833,-47.9167 27 | British Virgin Islands,Road Town,18.45,-64.6167 28 | Brunei Darussalam,Bandar Seri Begawan,4.86667,115 29 | Bulgaria,Sofia,42.75,23.3333 30 | Burkina Faso,Ouagadougou,12.25,-1.5 31 | Burundi,Bujumbura,-3.26667,29.3 32 | Cambodia,Phnom Penh,11.55,104.917 33 | Cameroon,Yaounde,3.83333,11.5833 34 | Canada,Ottawa,45.45,-75.7 35 | Cape Verde,Praia,15.0333,-23.5667 36 | Cayman Islands,George Town,19.3333,-81.4 37 | Central African Republic,Bangui,4.38333,18.5833 38 | Chad,N'Djamena,12.1667,14.9833 39 | Chile,Santiago,-33.4,-70.6667 40 | China,Beijing,39.9167,116.333 41 | Colombia,Bogota,4.56667,-74 42 | Comros,Moroni,-11.6667,43.2667 43 | Congo,Brazzaville,-4.15,15.2 44 | Costa Rica,San Jose,9.91667,-84.0333 45 | Cote d'Ivoire,Yamoussoukro,6.81667,-5.28333 46 | Croatia,Zagreb,45.8333,15.9667 47 | Cuba,Havana,23.1333,-82.3667 48 | Cyprus,Nicosia,35.1667,33.4167 49 | Czech Republic,Prague,50.0833,14.3667 50 | Democratic People's Republic of,P'yongyang,39.15,125.5 51 | Democratic Republic of the Congo,Kinshasa,-4.33333,15.25 52 | Denmark,Copenhagen,55.6833,12.5667 53 | Djibouti,Djibouti,11.1333,42.3333 54 | Dominica,Roseau,15.3333,-61.4 55 | Dominica Republic,Santo Domingo,18.5,-69.9833 56 | East Timor,Dili,-8.48333,125.567 57 | Ecuador,Quito,-0.25,-78.5833 58 | Egypt,Cairo,30.0167,31.2333 59 | El Salvador,San Salvador,13.6667,-89.1667 60 | Equatorial Guinea,Malabo,3.75,8.83333 61 | Eritrea,Asmara,15.3167,38.9167 62 | Estonia,Tallinn,59.3667,24.8 63 | Ethiopia,Addis Ababa,9.03333,38.7 64 | Falkland Islands (Malvinas),Stanley,-51.6667,-59.85 65 | Faroe Islands,Torshavn,62.0833,-6.93333 66 | Fiji,Suva,-18.1,178.5 67 | Finland,Helsinki,60.25,25.05 68 | France,Paris,48.8333,2.33333 69 | French Guiana,Cayenne,5.08333,-52.3 70 | French Polynesia,Papeete,-17.5333,-149.567 71 | Gabon,Libreville,0.416667,9.43333 72 | Gambia,Banjul,13.4667,-16.6667 73 | Georgia,T'bilisi,41.7167,44.8333 74 | Germany,Berlin,52.5,13.4167 75 | Ghana,Accra,5.58333,-0.1 76 | Greece,Athens,37.9667,23.7667 77 | Greenland,Nuuk,64.1667,-51.5833 78 | Guadeloupe,Basse-Terre,16,-61.7333 79 | Guatemala,Guatemala,14.6667,-90.3667 80 | Guernsey,St. Peter Port,49.4333,-2.55 81 | Guinea,Conakry,9.48333,-13.8167 82 | Guinea-Bissau,Bissau,11.75,-15.75 83 | Guyana,Georgetown,6.83333,-58.2 84 | Haiti,Port-au-Prince,18.6667,-72.3333 85 | Honduras,Tegucigalpa,14.0833,-87.2333 86 | Hungary,Budapest,47.4833,19.0833 87 | Iceland,Reykjavik,64.1667,-21.95 88 | India,New Delhi,28.6167,77.2167 89 | Indonesia,Jakarta,-6.15,106.817 90 | Iran (Islamic Republic of),Tehran,35.7333,51.5 91 | Iraq,Baghdad,33.3333,44.5 92 | Ireland,Dublin,53.35,-6.25 93 | Israel,Jerusalem,31.7833,35.2 94 | Italy,Rome,41.9,12.4833 95 | Jamaica,Kingston,18,-76.8333 96 | Japan,Tokyo,35.682,139.69 97 | Jordan,Amman,31.95,35.8667 98 | Kazakhstan,Astana,51.1667,71.5 99 | Kenya,Nairobi,-1.28333,36.8 100 | Kiribati,Tarawa,1.5,173 101 | Kuwait,Kuwait,29.5,48 102 | Kyrgyzstan,Bishkek,42.9,74.7667 103 | Lao People@s Democratic Republic,Vientiane,17.9667,102.6 104 | Latvia,Riga,56.8833,24.1333 105 | Lebanon,Beirut,33.8833,35.5167 106 | Lesotho,Maseru,-29.3,27.5 107 | Liberia,Monrovia,6.3,-10.7833 108 | Libyan Arab Jamahiriya,Tripoli,32.8167,13.1167 109 | Liechtenstein,Vaduz,47.1333,9.51667 110 | Lithuania,Vilnius,54.6333,25.3167 111 | Luxembourg,Luxembourg,49.6167,6.15 112 | Madagascar,Antananarivo,-18.9167,47.5167 113 | Malawi,Lilongwe,-14,33.8 114 | Malaysia,Kuala Lumpur,3.15,101.683 115 | Maldives,Male,4,73.4667 116 | Mali,Bamako,12.5667,-7.91667 117 | Malta,Valletta,35.9,14.5167 118 | Martinique,Fort-de-France,14.6,-61.0333 119 | Mauritania,Nouakchott,-20.1667,57.5 120 | Mayotte,Mamoudzou,-12.8,45.2333 121 | Mexico,Mexico,19.3333,-99.1667 122 | Micronesia (Federated States of),Palikir,6.91667,158.15 123 | Moldova (Republic of),Chisinau ,47.025,28.839 124 | Mozambique,Maputo,-25.9667,32.5333 125 | Myanmar,Yangon,16.75,96.3333 126 | Namibia,Windhoek,-22.5833,17.0667 127 | Nepal,Kathmandu,27.75,85.3333 128 | Netherlands,Amsterdam,52.3833,4.9 129 | Netherlands Antilles,Willemstad,12.0833,-69 130 | New Caledonia,Noumea,-22.2833,166.5 131 | New Zealand,Wellington,-41.3167,174.767 132 | Nicaragua,Managua,12.1,-86.3333 133 | Niger,Niamey,13.45,2.1 134 | Nigeria,Abuja,9.08333,7.53333 135 | Northern Mariana Islands,Saipan,15.2,145.75 136 | Norway,Oslo,59.9167,10.75 137 | Oman,Masqat,23.6167,58.6 138 | Pakistan,Islamabad,33.6667,73.1667 139 | Palau,Koror,7.33333,134.467 140 | Panama,Panama,9,-79.4167 141 | Papua New Guinea,Port Moresby,-9.4,147.133 142 | Paraguay,Asuncion,-25.1667,-57.5 143 | Peru,Lima,-12,-77 144 | Philippines,Manila,14.6667,121.05 145 | Poland,Warsaw,52.2167,21 146 | Portugal,Lisbon,38.7,-9.16667 147 | Puerto Rico,San Juan,18.4667,-66.1167 148 | Qatar,Doha,25.25,51.5833 149 | Republic of Korea,Seoul,37.5167,126.967 150 | Romania,Bucuresti,44.45,26.1667 151 | Russian Federation,Moskva,55.75,37.5833 152 | Rwanda,Kigali,-1.98333,30.0667 153 | Saint Kitts and Nevis,Basseterre,17.2833,-62.7167 154 | Saint Lucia,Castries,14.0333,-60.9667 155 | Saint Pierre and Miquelon,Saint-Pierre,46.7667,-56.2 156 | Saint vincent and the Grenadines,Kingstown,13.1667,-61.1667 157 | Samoa,Apia,-13.8333,-171.833 158 | San Marino,San Marino,43.9167,12.5 159 | Sao Tome and Principe,Sao Tome,0.166667,6.65 160 | Saudi Arabia,Riyadh,24.6833,46.7 161 | Senegal,Dakar,14.5667,-17.4833 162 | Sierra Leone,Freetown,8.5,-13.2833 163 | Singapore,Singapore,1.281,103.852 164 | Slovakia,Bratislava,48.1667,17.1167 165 | Slovenia,Ljubljana,46.0667,14.55 166 | Solomon Islands,Honiara,-9.45,159.95 167 | Somalia,Mogadishu,2.03333,45.4167 168 | South Africa,Pretoria (Use Johannesburg),-25.7333,28.2 169 | Spain,Madrid,40.4167,-3.75 170 | Sudan,Khartoum,15.5167,32.5833 171 | Suriname,Paramaribo,5.83333,-55.1667 172 | Swaziland,Mbabane,-26.3,31.1 173 | Sweden,Stockholm,59.3333,18.05 174 | Switzerland,Bern,46.95,7.46667 175 | Syrian Arab Republic,Damascus,33.5,36.3 176 | Tajikistan,Dushanbe,38.55,68.8 177 | Thailand,Bangkok,13.75,100.583 178 | The Former Yugoslav Republic of Macedonia,Skopje,42.0167,21.4333 179 | Togo,Lome,6.15,1.33333 180 | Tonga,Nuku'alofa,-21.1667,-174 181 | Tunisia,Tunis,36.8333,10.1833 182 | Turkey,Ankara,39.95,32.9 183 | Turkmenistan,Ashgabat,38,57.8333 184 | Tuvalu,Funafuti,-8.51667,179.217 185 | Uganda,Kampala,0.333333,32.5 186 | Ukraine,Kiev,50.5,30.4667 187 | United Arab Emirates,Abu Dhabi,24.4667,54.3667 188 | United Kingdom of Great Britain and Northern Ireland,London,51.6,-0.0833333 189 | United Republic of Tanzania,Dodoma,-6.13333,35.75 190 | United States of America,Washington DC,38.895,-77.038 191 | United States of Virgin Islands,Charlotte Amalie,18.35,-64.9333 192 | Uruguay,Montevideo,-34.8333,-56.1833 193 | Uzbekistan,Tashkent,41.3333,69.1667 194 | Vanuatu,Port-Vila,-17.75,168.3 195 | Venezuela,Caracas,10.5,-66.9167 196 | Vietnam,Hanoi,21.0833,105.917 197 | Yugoslavia,Belgrade,44.8333,20.6167 198 | Zambia,Lusaka,-15.4667,28.2667 199 | Zimbabwe,Harare,-17.7167,31.0333 200 | -------------------------------------------------------------------------------- /数据结构实习/results/MyVisualGraph.htm: 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int_element.x /= 1000; 14 | int_element.y /= 1000; 15 | int_element.f /= 1000; 16 | 17 | fclose(fp); 18 | } 19 | 20 | void PhotoGram::setGCP(char *path) 21 | { 22 | FILE *fp; 23 | errno_t err = fopen_s(&fp, path, "r"); 24 | 25 | int gcp_num; 26 | fscanf_s(fp, "%d", &gcp_num); 27 | 28 | resPoint temp; 29 | 30 | for(int i=0;i PhotoGram::getGCP() 44 | { 45 | return gcp; 46 | } 47 | 48 | Eigen::MatrixXd PhotoGram::adj(Eigen::MatrixXd A, Eigen::MatrixXd L) 49 | { 50 | return (A.transpose()*A).inverse()*A.transpose()*L; 51 | } 52 | 53 | Eigen::MatrixXd PhotoGram::calRotate(ExterElement temp) 54 | { 55 | Eigen::MatrixXd rotate; 56 | Eigen::MatrixXd r_phi = Eigen::MatrixXd::Zero(3, 3); 57 | Eigen::MatrixXd r_omega = Eigen::MatrixXd::Zero(3, 3); 58 | Eigen::MatrixXd r_kappa = Eigen::MatrixXd::Zero(3, 3); 59 | 60 | r_phi(1, 1) = 1; 61 | r_phi(0, 0) = cos(temp.phi); r_phi(0, 2) = -sin(temp.phi); 62 | r_phi(2, 0) = sin(temp.phi); r_phi(2, 2) = cos(temp.phi); 63 | 64 | r_omega(0, 0) = 1; 65 | r_omega(1, 1) = cos(temp.omega); r_omega(1, 2) = -sin(temp.omega); 66 | r_omega(2, 1) = sin(temp.omega); r_omega(2, 2) = cos(temp.omega); 67 | 68 | r_kappa(2, 2) = 1; 69 | r_kappa(0, 0) = cos(temp.kappa); r_kappa(0, 1) = -sin(temp.kappa); 70 | r_kappa(1, 0) = sin(temp.kappa); r_kappa(1, 1) = cos(temp.kappa); 71 | 72 | rotate = r_phi * r_omega*r_kappa; 73 | return rotate; 74 | } 75 | 76 | PhotoGram::PhotoGram(char *path_int, char *path_gcp) 77 | { 78 | setInt(path_int); 79 | setGCP(path_gcp); 80 | } 81 | 82 | -------------------------------------------------------------------------------- /解析摄影测量实习/code/Gram.h: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Charrrrrlie/PracticalCourse/de12028ec5f06fcb2519250a59bbc529f95717e9/解析摄影测量实习/code/Gram.h -------------------------------------------------------------------------------- /解析摄影测量实习/code/IOrientation.cpp: 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834000 4504714.67 446120.64 0.00 203 5 | 831000 4505078.92 446018.62 0.10 206 6 | 832000 4504373.10 445862.00 -0.18 206 7 | 833000 4504731.28 445838.59 -0.20 206 8 | -99 0.00 0.00 0.00 0 9 | -------------------------------------------------------------------------------- /解析摄影测量实习/data/tieEdit/adjustment/WuCAPS/BBAPI.DAT: -------------------------------------------------------------------------------- 1 | 321 4504891.67 445820.12 200 2600 2 | 320 4504892.27 446030.55 200 2600 3 | 319 4504892.40 446257.03 200 2500 4 | 332 4504486.84 445813.14 200 2500 5 | 333 4504489.54 446034.19 200 2500 6 | 334 4504488.89 446269.03 200 2500 7 | 9033401 4504321.04 446254.47 203 0 8 | 8033401 4504679.42 446287.40 203 0 9 | 8031901 4505079.58 446263.98 203 0 10 | 834000 4504714.67 446120.64 203 0 11 | 831000 4505078.92 446018.62 203 0 12 | 832000 4504373.10 445862.00 203 0 13 | 833000 4504731.28 445838.59 203 0 14 | 2 4504869.39 445820.11 207 0 15 | 3 4504666.34 445823.99 207 0 16 | 1 4505019.37 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-------------------------------------------------------------------------------- 1 | 321 4504891.67 445820.12 210 2 | 320 4504892.27 446030.55 200 3 | 319 4504892.40 446257.03 211 4 | 332 4504486.84 445813.14 210 5 | 333 4504489.54 446034.19 200 6 | 334 4504488.89 446269.03 211 7 | 9033401 4504321.04 446254.47 203 8 | 8033401 4504679.42 446287.40 203 9 | 8031901 4505079.58 446263.98 203 10 | 834000 4504714.67 446120.64 203 11 | 831000 4505078.92 446018.62 203 12 | 832000 4504373.10 445862.00 203 13 | 833000 4504731.28 445838.59 203 14 | -99 0.00 0.00 0 15 | -------------------------------------------------------------------------------- /解析摄影测量实习/data/tieEdit/adjustment/WuCAPS/BBAPP.DAT: -------------------------------------------------------------------------------- 1 | 9033401 4504321.04 446254.47 0.01 0.00 203 2 | 8033401 4504679.42 446287.40 -0.01 0.00 203 3 | 8031901 4505079.58 446263.98 0.01 0.00 203 4 | 834000 4504714.67 446120.64 -0.01 0.00 203 5 | 831000 4505078.92 446018.62 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2734.766311 1 6 | 115 6903.885184 2060.015151 2336.518141 1 7 | 114 6903.387603 2058.114135 1948.428806 1 8 | 113 6902.954069 2056.677835 1562.952059 1 9 | 112 6902.926951 2055.545918 1168.179596 1 10 | 111 6900.872744 2056.149994 768.368254 1 11 | 129 6884.527031 2951.819690 3898.977255 1 12 | 128 6885.112667 2952.754909 3515.051227 1 13 | 127 6886.151438 2951.204368 3133.750784 1 14 | 126 6886.642374 2951.411821 2756.558898 1 15 | 125 6887.358154 2951.326159 2350.29172 1 16 | 124 6887.917389 2952.092951 1964.134253 1 17 | 123 6888.052765 2951.255991 1571.870912 1 18 | 122 6887.682215 2951.932776 1179.78374 1 19 | 121 6887.214027 2951.610422 780.762913 1 20 | 130 6877.318430 3947.631901 3910.070899 1 21 | 139 6877.729582 3947.619235 3581.116215 1 22 | 138 6878.742785 3947.657696 3188.38627 1 23 | 137 6879.569287 3948.407292 2790.861733 1 24 | 136 6879.645584 3947.852171 2487.64009 1 25 | 135 6880.560801 3948.788115 2180.819808 1 26 | 134 6880.503627 3951.182620 1883.072118 1 27 | 133 6880.398676 3948.129473 1493.778471 1 28 | 132 6880.166942 3948.379850 1124.396105 1 29 | 131 6878.685194 3947.180884 745.876238 1 30 | 140 6871.702763 4847.468994 3906.01997 1 31 | 149 6871.088524 4848.100175 3523.860899 1 32 | 148 6871.344669 4849.115168 3175.175416 1 33 | 147 6871.272726 4849.023963 2783.586692 1 34 | 146 6872.005462 4847.740988 2488.784413 1 35 | 145 6871.725318 4849.184065 2180.009507 1 36 | 144 6871.315637 4847.821004 1882.948138 1 37 | 143 6873.491934 4849.675060 1495.761574 1 38 | 142 6873.855483 4849.508738 1119.867034 1 39 | 141 6873.483528 4848.280022 750.132753 1 40 | 151 6870.79234 5648.47130 750.24136 1 41 | 152 6868.89405 5647.05058 1122.69454 1 42 | 153 6868.33158 5647.58298 1498.61045 1 43 | 154 6866.18976 5645.40537 1884.47706 1 44 | 155 6866.82853 5644.14665 2182.44526 1 45 | 156 6866.43171 5644.90487 2483.34694 1 46 | 157 6866.48160 5645.32871 2782.10106 1 47 | 158 6866.23481 5645.03300 3178.82289 1 48 | 159 6864.75870 5644.17220 3524.61262 1 49 | 150 6866.48566 5646.48201 3902.52589 1 50 | 161 6868.93738 6589.78325 753.02122 1 51 | 162 6868.05566 6586.32922 1129.499 1 52 | 163 6866.92366 6586.10016 1536.88917 1 53 | 164 6866.41689 6586.19739 1926.04379 1 54 | 165 6866.05038 6585.24154 2311.71593 1 55 | 166 6865.86615 6586.25145 2723.28613 1 56 | 167 6865.82339 6585.88073 3112.26825 1 57 | 168 6864.95430 6586.78283 3528.86956 1 58 | 169 6866.310040 6587.54796 3902.23324 1 59 | 179 6865.080073 7435.362721 3904.186381 1 60 | 178 6864.548952 7434.469783 3533.678113 1 61 | 177 6865.076113 7435.538592 3116.537501 1 62 | 176 6865.312479 7436.168604 2728.605097 1 63 | 175 6864.120436 7437.106577 2316.534681 1 64 | 174 6865.541590 7437.774595 1931.128443 1 65 | 173 6863.430990 7438.540198 1539.92569 1 66 | 172 6864.757701 7440.485593 1131.285978 1 67 | 171 6862.727777 7443.322530 764.141484 1 68 | 218 7330.435123 3139.270001 3894.024218 1 69 | 217 7330.695030 3139.580934 3488.368254 1 70 | 216 7329.871048 3135.284757 3112.388368 1 71 | 215 7330.633213 3135.819930 2732.293718 1 72 | 214 7330.914702 3136.078495 2332.554988 1 73 | 213 7331.594650 3134.939906 1941.205881 1 74 | 212 7331.954239 3134.819197 1564.949912 1 75 | 211 7332.920086 3134.986926 1166.291142 1 76 | 210 7333.658692 3135.229264 768.849656 1 77 | 228 7257.505314 4534.406911 3902.587194 1 78 | 227 7257.121184 4533.722340 3587.704224 1 79 | 226 7257.479106 4533.984363 3177.808999 1 80 | 225 7257.884927 4534.893062 2788.216174 1 81 | 224 7257.776493 4533.174413 2374.962165 1 82 | 223 7258.330814 4533.782298 1959.413812 1 83 | 222 7258.920650 4532.959199 1554.449385 1 84 | 221 7259.796326 4532.895609 1146.331324 1 85 | 220 7260.926545 4530.677017 744.737401 1 86 | 318 7953.029862 2153.557847 3900.236413 1 87 | 317 7956.536362 2155.486181 3512.292677 1 88 | 316 7957.659995 2154.411414 3081.384021 1 89 | 315 7958.508416 2154.979748 2693.586357 1 90 | 314 7959.203584 2155.172738 2318.794838 1 91 | 313 7959.695659 2153.687867 1907.381475 1 92 | 312 7960.052714 2153.656595 1526.033957 1 93 | 311 7959.958482 2154.619894 1129.936536 1 94 | 310 7959.518430 2155.853146 749.459953 1 95 | 328 7949.736919 2953.397345 3905.564864 1 96 | 327 7950.369763 2954.896883 3511.353501 1 97 | 326 7951.079383 2955.232722 3083.335766 1 98 | 325 7951.739794 2955.631752 2692.661298 1 99 | 324 7952.435953 2955.443070 2317.566332 1 100 | 323 7952.975385 2954.307033 1898.379007 1 101 | 322 7953.325622 2954.478635 1521.345406 1 102 | 321 7953.713733 2953.966505 1130.047902 1 103 | 320 7954.034983 2953.705627 746.008581 1 104 | 339 7945.135285 3849.861063 3911.44788 1 105 | 338 7943.854466 3849.753314 3529.709947 1 106 | 337 7942.735702 3850.811511 3112.184141 1 107 | 336 7943.725005 3849.831551 2774.002869 1 108 | 335 7943.682087 3847.247288 2474.565936 1 109 | 334 7944.503487 3851.022214 2166.382547 1 110 | 333 7944.747988 3849.666267 1863.702876 1 111 | 332 7945.998414 3850.600749 1494.958953 1 112 | 331 7946.825834 3852.180229 1123.851487 1 113 | 330 7949.478131 3852.243763 743.6951 1 114 | 349 7940.526078 4695.078191 3913.217515 1 115 | 348 7940.159900 4696.079680 3546.92675 1 116 | 347 7942.053598 4695.130316 3167.373787 1 117 | 346 7942.636133 4693.011883 2778.171775 1 118 | 345 7942.640514 4692.489503 2487.26566 1 119 | 344 7942.711671 4694.610755 2199.297667 1 120 | 343 7943.698834 4693.224285 1893.353142 1 121 | 342 7945.631803 4694.438914 1509.503106 1 122 | 341 7946.353180 4695.513870 1133.85775 1 123 | 340 7947.425260 4693.917170 747.441095 1 124 | 359 7933.858826 5689.961469 3903.536088 1 125 | 358 7935.404758 5690.811077 3556.001401 1 126 | 357 7933.674027 5691.949165 3170.520361 1 127 | 356 7936.250117 5692.717709 2796.234495 1 128 | 355 7936.302816 5692.666667 2489.204224 1 129 | 350 7937.163980 5692.919590 748.3998 1 130 | 351 7938.001510 5693.672020 1130.1159 1 131 | 352 7937.163210 5694.187810 1508.25808 1 132 | 353 7937.755380 5693.505420 1887.63016 1 133 | 354 7937.000540 5692.736920 2194.47846 1 134 | 368 7931.505390 6532.172129 3911.711222 1 135 | 367 7929.938535 6535.031027 3501.321352 1 136 | 366 7927.562518 6536.307239 3115.5579 1 137 | 365 7930.479832 6535.711572 2710.511576 1 138 | 364 7929.572617 6537.325915 2304.421109 1 139 | 363 7932.110954 6535.728476 1914.757656 1 140 | 362 7931.955944 6536.649085 1523.108531 1 141 | 361 7933.641536 6536.130708 1129.024922 1 142 | 360 7934.768920 6534.848028 751.494934 1 143 | 378 7926.385928 7333.134323 3908.366104 1 144 | 377 7924.811182 7334.746146 3499.862623 1 145 | 376 7925.328791 7335.337047 3105.323171 1 146 | 375 7927.161776 7336.009365 2703.615674 1 147 | 374 7926.165820 7336.492170 2308.1097 1 148 | 373 7926.304579 7338.049883 1900.189401 1 149 | 372 7929.150134 7336.579135 1511.091237 1 150 | 371 7928.444698 7337.075871 1121.008279 1 151 | 370 7929.104546 7336.910141 747.443941 1 152 | 406 8955.985885 1667.131582 3974.297979 1 153 | 405 9026.703627 1659.965896 3574.202352 1 154 | 404 9029.799095 1636.143550 2970.802727 1 155 | 403 9030.644213 1649.726476 2371.61245 1 156 | 402 9028.973772 1656.600783 1769.356083 1 157 | 401 9028.103654 1665.067020 1169.739628 1 158 | 400 9012.142421 1686.248279 543.413774 1 159 | 416 8958.025005 2232.467006 3957.584933 1 160 | 415 9025.895311 2253.365354 3573.235653 1 161 | 414 9028.450379 2237.820186 2972.255407 1 162 | 413 9029.430719 2236.875862 2366.827965 1 163 | 412 9028.270532 2249.826003 1770.158628 1 164 | 411 9028.335338 2247.963809 1169.871312 1 165 | 410 9015.770739 2278.715577 543.399704 1 166 | 426 8960.583330 2825.867763 3974.397512 1 167 | 425 9025.075345 2826.267586 3573.302943 1 168 | 424 9027.163632 2812.443153 2971.732156 1 169 | 423 9027.600212 2816.307281 2368.885604 1 170 | 422 9026.960432 2827.200815 1770.288865 1 171 | 421 9026.901393 2830.131589 1171.662794 1 172 | 420 9015.960562 2849.374019 545.829468 1 173 | 436 8959.794831 3420.070789 3974.461231 1 174 | 435 9024.321305 3421.869558 3573.696511 1 175 | 434 9025.014391 3414.505852 2973.55229 1 176 | 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28 | 138 4877.2666 1945.5869 1187.0975 1 29 | 139 4876.2426 1945.4894 1579.8295 1 30 | 140 4871.0405 2846.4959 1904.6051 1 31 | 141 4873.5906 2849.3635 -1231.7512 1 32 | 142 4873.6725 2848.8549 -881.0698 1 33 | 143 4873.2263 2848.9729 -505.2728 1 34 | 144 4871.5357 2847.1560 -118.0988 1 35 | 145 4871.6103 2848.4021 178.8890 1 36 | 146 4871.5589 2847.6036 484.8269 1 37 | 147 4871.2679 2846.5337 779.7331 1 38 | 148 4870.8254 2847.4029 1173.3574 1 39 | 149 4870.6036 2847.1418 1522.5145 1 40 | 150 4866.0580 3648.2525 1901.0752 1 41 | 151 4869.9921 3649.0578 -1222.7428 1 42 | 152 4868.8408 3648.5656 -878.2805 1 43 | 153 4868.0945 3649.1489 -502.4445 1 44 | 154 4866.0752 3646.9610 -116.5398 1 45 | 155 4866.5737 3645.7228 181.2241 1 46 | 156 4866.2349 3646.5151 482.2127 1 47 | 157 4866.0805 3646.9834 780.8617 1 48 | 158 4866.1597 3644.5398 1175.0602 1 49 | 159 4864.6898 3645.9706 1523.4677 1 50 | 161 4869.0735 4587.9417 -1233.8797 1 51 | 162 4866.7520 4586.8168 -871.5063 1 52 | 163 4865.7476 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77 | 220 5261.9398 2531.4480 -1241.5020 1 78 | 221 5261.2662 2532.8313 -854.8890 1 79 | 222 5259.9595 2532.9986 -446.9659 1 80 | 223 5259.1647 2533.8912 -42.0214 1 81 | 224 5258.2906 2533.3711 373.4401 1 82 | 225 5258.0926 2535.1935 786.6102 1 83 | 226 5257.8312 2534.2413 1175.7452 1 84 | 227 5256.8358 2534.0237 1585.9804 1 85 | 228 5256.4998 2531.4110 1902.1467 1 86 | 310 5958.7116 156.8836 -1251.4885 1 87 | 311 5958.8269 155.7549 -870.9984 1 88 | 312 5958.7769 154.8748 -474.9703 1 89 | 313 5958.3897 154.9124 -93.6275 1 90 | 314 5957.9442 156.3995 317.6635 1 91 | 315 5957.2340 156.5557 693.3544 1 92 | 316 5956.5063 155.6350 1080.1521 1 93 | 317 5955.2665 156.6730 1511.0111 1 94 | 318 5952.2787 154.6467 1898.9328 1 95 | 320 5952.4459 956.6081 -1253.7817 1 96 | 321 5952.0865 956.5607 -870.7654 1 97 | 322 5951.7664 956.9814 -479.6371 1 98 | 323 5951.7410 957.3636 -104.2699 1 99 | 324 5951.0771 957.6238 316.3858 1 100 | 325 5950.5724 957.6906 691.4032 1 101 | 326 5950.0617 957.1009 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-------------------------------------------------------------------------------- 1 | *************直接线性变换求解************* 2 | DLT Success in 3 times! 3 | 4 | 观测值中误差(sigma)：0.00189733 5 | 6 | 未知数解算理论精度： 7 | L1: 0.000285 8 | L2: 0.000005 9 | L3: 0.000042 10 | L4: 1.116658 11 | L5: 0.000008 12 | L6: 0.000285 13 | L7: 0.000051 14 | L8: 0.016584 15 | L9: 0.000003 16 | L10: 0.000002 17 | L11: 0.000009 18 | k1: 0.000021 19 | k2: 0.000000 20 | k3: 0.000000 21 | p1: 0.000020 22 | p2: 0.000010 23 | 重投影误差精度： 24 | x方向 0.001226mm 约0.235894像素 25 | y方向 0.001192mm 约0.229366像素 26 | 27 | --------直接线性变换L系数-------- 28 | 0.034595 -0.000152 -0.005103 -135.790722 -0.000761 0.034413 -0.006169 -1.648167 0.000172 0.000208 0.001161 29 | 30 | --------外方位元素-------- 31 | Xs Ys Zs 32 | 3719.406630 -119.275918 -1391.192037 33 | 34 | phi omega kappa 35 | -0.147069 -0.175233 -0.004331 36 | 37 | --------内方位元素------- 38 | x0 y0 f 39 | 0.004837 0.100138 29.346564 40 | 41 | --------畸变参数(k1,k2,k3,p1,p2)-------- 42 | 0.000086499681 0.000000049397 -0.000000001507 0.000059905485 0.000017787427 43 | 44 | 45 | *************直接线性变换求解************* 46 | DLT Success in 3 times! 47 | 48 | 观测值中误差(sigma)：0.002756200993 49 | 50 | 未知数解算理论精度： 51 | L1: 0.000045 52 | L2: 0.000003 53 | L3: 0.000008 54 | L4: 0.098198 55 | L5: 0.000002 56 | L6: 0.000046 57 | L7: 0.000008 58 | L8: 0.011625 59 | L9: 0.000001 60 | L10: 0.000001 61 | L11: 0.000002 62 | k1: 0.000026 63 | k2: 0.000000 64 | k3: 0.000000 65 | p1: 0.000024 66 | p2: 0.000012 67 | 重投影误差精度： 68 | x方向 0.001226mm 约0.235894像素 69 | y方向 0.001192mm 约0.229366像素 70 | 71 | --------直接线性变换L系数-------- 72 | 0.016240 -0.000139 0.002883 -34.874830 0.000640 0.016237 -0.002840 -3.491499 -0.000099 0.000098 0.000545 73 | 74 | --------外方位元素-------- 75 | Xs Ys Zs 76 | 2391.554900 -120.684910 -1380.741016 77 | 78 | phi omega kappa 79 | 0.179378 -0.175484 -0.007455 80 | 81 | --------内方位元素------- 82 | x0 y0 f 83 | 0.148878 0.051319 29.343638 84 | 85 | --------畸变参数(k1,k2,k3,p1,p2)-------- 86 | 0.000082746963 0.000000043956 -0.000000001222 0.000004513806 0.000039896463 87 | 88 | 89 | 90 | *************检查点计算************* 91 | 检查点点号:223 450 343 144 143 360 482 92 | 93 | 94 | 检查点: 95 | 点号 精度 96 | 223 0.473928 0.315698 1.968533 97 | 450 0.087144 0.054974 0.248736 98 | 343 0.004178 0.039798 0.033109 99 | 144 0.274578 0.284579 2.170782 100 | 143 0.129884 0.362879 1.184001 101 | 360 0.178814 0.342589 1.159383 102 | 482 0.241477 0.115753 2.466637 103 | 104 | 检查点总精度: 105 | Dx 0.198572 Dy 0.216610 Dz 1.318740 106 | 107 | 108 | *************待定点计算************* 109 | 待求点点号:11 12 13 21 22 23 31 32 33 41 42 51 52 53 61 62 71 72 81 82 83 110 | 111 | 点号 X Y Z 与52号点距离 112 | 11 4580.400824 2405.698541 -577.039960 928.316370 113 | 12 4590.621747 2409.033248 -806.624612 907.874289 114 | 13 4600.235701 2414.517438 -1009.354439 935.818266 115 | 21 4583.782486 2555.665628 -575.440626 814.008224 116 | 22 4588.796003 2564.103399 -787.452853 783.319304 117 | 23 4598.829214 2571.346256 -1021.855554 819.362638 118 | 31 4320.313257 2704.365017 -581.876896 553.118616 119 | 32 4324.585476 2705.931908 -807.438156 515.497564 120 | 33 4331.729428 2710.009142 -1022.596544 566.988494 121 | 41 4137.714278 2893.418057 -586.379605 336.491183 122 | 42 4143.627444 2900.955240 -821.492028 267.939500 123 | 51 4072.937802 3150.166417 -570.025555 215.445367 124 | 52 4078.375906 3158.288219 -785.249088 0.000000 125 | 53 4083.816091 3168.803194 -1024.413603 239.457356 126 | 61 4149.465225 3412.119222 -583.508617 331.938379 127 | 62 4157.860011 3416.526004 -778.603236 270.275127 128 | 71 4343.629115 3596.731292 -568.471717 556.402752 129 | 72 4357.934721 3599.934859 -790.113161 522.712679 130 | 81 4288.807644 3718.373840 -516.103647 656.061498 131 | 82 4297.218938 3724.768543 -711.707127 611.719421 132 | 83 4314.538049 3731.648391 -913.524466 633.221144 133 | 134 | 135 | *************后方交会求解************* 136 | 后方交会收敛! 迭代次数:7 137 | 138 | 观测值中误差(sigma)：0.001952 139 | 140 | 未知数解算理论精度： 141 | Xs: 0.355941 142 | Ys: 0.351704 143 | Zs: 1.746679 144 | phi: 0.001459 145 | omgea: 0.000773 146 | kappa: 0.000225 147 | x0: 0.042155 148 | y0: 0.022711 149 | f: 0.014998 150 | k1: 0.000019 151 | k2: 0.000000 152 | k3: 0.000000 153 | p1: 0.000017 154 | p2: 0.000009 155 | 156 | --------外方位元素-------- 157 | Xs Ys Zs 158 | 3719.457465 -119.201216 -1391.116845 159 | 160 | phi omega kappa 161 | -0.147701 -0.175083 -0.004445 162 | 163 | --------内方位元素------- 164 | x0 y0 f 165 | -0.013239 0.104535 29.341557 166 | 167 | --------畸变参数(k1,k2,k3,p1,p2)-------- 168 | 0.000076098703 0.000000184510 -0.000000002008 0.000066327798 0.000013381672 169 | -------------------------------------------------------------------------------- /近景摄影测量实习/results/residual_left.txt: -------------------------------------------------------------------------------- 1 | 432 -10.6823 4.49168 0.00216672 -0.00100682 2 | 431 -10.4799 1.21767 0.000767772 -0.00186294 3 | 430 -10.2586 -2.02532 -0.00440086 0.00399994 4 | 133 -9.02508 1.74331 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