{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:33:07Z","timestamp":1768782787591,"version":"3.49.0"},"reference-count":36,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Fund for Distinguished Young Scholars Continuation Funding","award":["62425102"],"award-info":[{"award-number":["62425102"]}]},{"name":"National Science Fund for Distinguished Young Scholars Continuation Funding","award":["2022YFB3902804"],"award-info":[{"award-number":["2022YFB3902804"]}]},{"name":"National Science Fund for Distinguished Young Scholars Continuation Funding","award":["91738302"],"award-info":[{"award-number":["91738302"]}]},{"name":"National Key Research and Development Program of China","award":["62425102"],"award-info":[{"award-number":["62425102"]}]},{"name":"National Key Research and Development Program of China","award":["2022YFB3902804"],"award-info":[{"award-number":["2022YFB3902804"]}]},{"name":"National Key Research and Development Program of China","award":["91738302"],"award-info":[{"award-number":["91738302"]}]},{"name":"National Natural Science Foundation of China","award":["62425102"],"award-info":[{"award-number":["62425102"]}]},{"name":"National Natural Science Foundation of China","award":["2022YFB3902804"],"award-info":[{"award-number":["2022YFB3902804"]}]},{"name":"National Natural Science Foundation of China","award":["91738302"],"award-info":[{"award-number":["91738302"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Long-strip imaging is an important way of improving the coverage and acquisition efficiency of remote sensing satellite data. During the agile maneuver imaging process of the satellite, the LuoJia3-01 satellite can obtain a sequence of array long-strip images with a certain degree of overlap. Limited by the relative accuracy of satellite attitude, there will be relative misalignment between the sequence frame images, requiring high-precision geometric processing to meet the requirements of large-area remote sensing applications. Therefore, this study proposes a new method for the geometric correction of long-strip images without ground control points (GCPs) through GPU acceleration. Firstly, through the relative orientation of sequence images, the relative geometric errors between the images are corrected frame-by-frame. Then, block perspective transformation and image point densified filling (IPDF) direct mapping processing are carried out, mapping the sequence images frame-by-frame onto the stitched image. In this way, the geometric correction and image stitching of the sequence frame images are completed simultaneously. Finally, computationally intensive steps, such as point matching, coordinate transformation, and grayscale interpolation, are processed in parallel using GPU to further enhance the program\u2019s execution efficiency. The experimental results show that the method proposed in this study achieves a stitching accuracy of less than 0.3 pixels for the geometrically corrected long-strip images, an internal geometric accuracy of less than 1.5 pixels, and an average processing time of less than 1.5 s per frame, meeting the requirements for high-precision near-real-time processing applications.<\/jats:p>","DOI":"10.3390\/rs16173281","type":"journal-article","created":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T04:28:28Z","timestamp":1725424108000},"page":"3281","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Near-Real-Time Long-Strip Geometric Processing without GCPs for Agile Push-Frame Imaging of LuoJia3-01 Satellite"],"prefix":"10.3390","volume":"16","author":[{"given":"Rongfan","family":"Dai","sequence":"first","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Mi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Zhao","family":"Ye","sequence":"additional","affiliation":[{"name":"DFH Satellite Co., Ltd., Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1080\/10095020.2023.2208472","article-title":"Internet intelligent remote sensing scientific experimental satellite LuoJia3-01","volume":"26","author":"Li","year":"2023","journal-title":"Geo-Spat. 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