{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:29:56Z","timestamp":1766269796780,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"High-Resolution Remote Sensing, Surveying, and Mapping Application Demonstration System (Phase II)","award":["42-Y30B04-9001-19\/21","41201361"],"award-info":[{"award-number":["42-Y30B04-9001-19\/21","41201361"]}]},{"name":"National Natural Science Foundation of China","award":["42-Y30B04-9001-19\/21","41201361"],"award-info":[{"award-number":["42-Y30B04-9001-19\/21","41201361"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>As an important means of improving positioning accuracy, block adjustment has been used in the improvement and assessment of accuracy for the Chinese Gaofen-7 (GF-7) satellite. However, there is little research on what factors affect accuracy without ground control points (GCPs). The correlation between accuracy and the images participating in the adjustment is not clear. This paper proposes the correlation coefficients and canonical correlation analysis between five accuracy indicators and three sets of ten adjustment factors, including topographic factors, participating image factors, and tie points (TPs) factors, to quantify the influence of adjustment factors on accuracy. Block adjustment without GCPs for GF-7 stereo imagery is verified in three study areas to evaluate the relationship between accuracy and adjustment factors. The results show that block adjustment without GCPs can improve direct positioning accuracy with an average improvement of 1.27 m in the planar direction and 0.13 m in the elevation direction. Moreover, plane accuracy is more easily affected by three sets of factors, while the influence on elevation accuracy is more balanced. The set of TP factors has the greatest influence on accuracy, and the image overlap is more critical than the image coverage area, number, and time periods. Topographic factors also play an important role, and the influence of the elevation factor with the highest canonical correlation coefficient (\u22120.71) is more significant than the other two factors, roughness, and slope. The results provide a reference for the improvement of adjustment accuracy without GCPs, the reasonable selection of adjustment images, the optimization of TPs, and the strategy of the partition processing of large-area block adjustment for GF-7 stereo imagery.<\/jats:p>","DOI":"10.3390\/rs15102552","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T10:49:51Z","timestamp":1683888591000},"page":"2552","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Geometric Accuracy Analysis of Regional Block Adjustment Using GF-7 Stereo Images without GCPs"],"prefix":"10.3390","volume":"15","author":[{"given":"Xinming","family":"Tang","sequence":"first","affiliation":[{"name":"The Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China"}]},{"given":"Xiaoyong","family":"Zhu","sequence":"additional","affiliation":[{"name":"The Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0018-3436","authenticated-orcid":false,"given":"Wenmin","family":"Hu","sequence":"additional","affiliation":[{"name":"The National Joint Engineering Laboratory of Internet Applied Technology of Mines, China University of Mining and Technology, Xuzhou 221116, China"}]},{"given":"Jianhang","family":"Ding","sequence":"additional","affiliation":[{"name":"The Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China"},{"name":"Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"12088","DOI":"10.1109\/JSTARS.2021.3130072","article-title":"Nonlinear Systematic Distortions Compensation in Satellite Images Based on an Equivalent Geometric Sensor Model Recovered From RPCs","volume":"14","author":"Cao","year":"2021","journal-title":"IEEE J. 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