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Seamless UAV Hyperspectral Image Stitching Using Optimal Seamline Detection via Graph Cuts

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成果类型:
期刊论文
作者:
Peng, Zongyi;Ma, Yong;Zhang, Yujie;Li, Hao;Fan, Fan;...
通讯作者:
Fan, F
作者机构:
[Zhang, Yujie; Mei, Xiaoguang; Fan, Fan; Peng, Zongyi; Fan, F; Ma, Yong] Wuhan Univ, Elect Informat Sch, Wuhan 430072, Peoples R China.
[Li, Hao] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
通讯机构:
[Fan, F ] W
Wuhan Univ, Elect Informat Sch, Wuhan 430072, Peoples R China.
语种:
英文
关键词:
Graph cuts;hyperspectral image (HSI) stitching;optimal seamline detection;spectral similarity
期刊:
IEEE Transactions on Geoscience and Remote Sensing
ISSN:
0196-2892
年:
2023
卷:
61
页码:
1-13
基金类别:
10.13039/501100003819-Outstanding Youth Project of Natural Science Foundation of Hubei Province of China (Grant Number: 2022CFA073) 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62075169, 62003247 and 62061160370)
机构署名:
本校为其他机构
院系归属:
数学与计算机学院
摘要:
Image stitching task targets to derive a large panoramic image for obtaining extensive information. However, artifacts such as ghosting or geometric misalignment are inevitably generated. As a practical measure, optimal seamline detection strategies use the spatial information to obtain the optimal seam in RGB image stitching, but they cannot be directly used in hyperspectral image (HSI) stitching. Since the spatial information of numerous continuous bands of HSI is different, the detected seam of the traditional RGB-based method in each band of HSI is divergent, which will cause visual differ...

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