A Fast and Robust Scan-Line Search Algorithm for Object-to-Image Projection of Airborne Pushbroom Images
Author:
Publisher
American Society for Photogrammetry and Remote Sensing
Subject
Computers in Earth Sciences
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Linear Regression Approach for Best Scanline Determination in the Object to Image Space Transformation Using Pushbroom Images;Sensors;2024-08-29
2. Best Scanline Determination of Pushbroom Images for a Direct Object to Image Space Transformation Using Multilayer Perceptron;Remote Sensing;2024-07-30
3. Orthorectification Model for Extra-Length Linear Array Imagery;IEEE Transactions on Geoscience and Remote Sensing;2022
4. A fast non-iterative method for the object to image space best scanline determination of spaceborne linear array pushbroom images;Advances in Space Research;2021-11
5. Accuracy improvement of Best Scanline Search Algorithms for Object to Image Transformation of Linear Pushbroom Imagery;Journal of Geospatial Information Technology;2020-06-01
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