标题: A Fast Globally Optimal Seamline Detection Method for High-Resolution Remote Sensing Images

作者: Shen, HF (Shen, Huanfeng); Zhou, W (Zhou, Wei); Li, XH (Li, Xinghua)

来源出版物: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 卷: 20 文献号: 6003305 DOI: 10.1109/LGRS.2023.3250519 出版年: 2023

摘要: Seamline detection is one of the most important issues in mosaicking high-resolution remote sensing images (HRRSIs). However, it is difficult to make a balance between efficiency and accuracy. On that account, a shortest matrix path-based dynamic programming (SMP-DP) algorithm is proposed to find the optimal seamline for HRRSI mosaicking. First, a pixel cost matrix defined by intensity difference, gradient similarity, and geometric difference is constructed in the overlapping area. Second, the least average path cost from the starting pixel to each pixel is calculated and the SMP-DP algorithm is applied to find the optimal path. Experimental results on HRRSI prove that the proposed method detects high-quality seamline and crosses much fewer objects with the highest computational efficiency, compared with the state-of-the-art method and commercial software.

作者关键词: Costs; Remote sensing; Image color analysis; Shortest path problem; Cost function; Image resolution; Heuristic algorithms; Dynamic programming (DP); high-resolution remote sensing images (HRRSIs); Index Terms; image mosaicking; seamline detection; shortest matrix path

地址: [Shen, Huanfeng; Zhou, Wei] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Shen, Huanfeng; Li, Xinghua] Hubei Luojia Lab, Wuhan 430079, Peoples R China.

[Li, Xinghua] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.

通讯作者地址: Li, XH (通讯作者)，Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.

电子邮件地址: shenhf@whu.edu.cn; rs_zhouwei@whu.edu.cn; lixinghua5540@whu.edu.cn

影响因子：5.343