Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410007(2022)
Remote Sensing Image Mosaic Based on Distribution Measure and Saliency Information
Fig. 3. Schematic of optimal inlier selection. (a) Tentative inliers Ck, |Ck|=231; (b) tentative inliers Ck+1, |Ck+1|=220; (c) Delaunay triangulation constructed according to Ck, Dk=3.474; (d) Delaunay triangulation constructed according to Ck+1, Dk+1=2.1361
Fig. 4. Schematic of saliency information extraction in remote sensing image. (a) Line segment detection result; (b) saliency information map
Fig. 8. Comparison of seamline detection and smooth transition fusion of four algorithms. (a) Seamline of Chon's algorithm; (b) seamline of HVDA algorithm; (c) seamline of QESE algorithm; (d) seamline of proposed algorithm; (e)‒(h) enlargements of corresponding box area
Fig. 9. Mosaic comparison of remote sensing sequence images. (a) AutoStitch; (b) ICE; (c) QESE; (d) proposed algorithm; (e)‒(h) enlargements of corresponding box area
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Didi Zhao, Jiahui Li, Fenli Tan, Chenxin Zeng, Yiqun Ji. Remote Sensing Image Mosaic Based on Distribution Measure and Saliency Information[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410007
Category: Image Processing
Received: Feb. 25, 2021
Accepted: Mar. 25, 2021
Published Online: Jan. 25, 2022
The Author Email: Yiqun Ji (jiyiqun@suda.edu.cn)