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A Geometric and Radiometric Simultaneous Correction Model (GRSCM) Framework for High-Accuracy Remotely Sensed Image Preprocessing

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成果类型:
期刊论文
作者:
Li, Chang*;Xiong, Hao
通讯作者:
Li, Chang
作者机构:
[Li, Chang] Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.
Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Li, Chang] K
Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.
语种:
英文
期刊:
Photogrammetric Engineering and Remote Sensing
ISSN:
0099-1112
年:
2017
卷:
83
期:
9
页码:
621-632
基金类别:
National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41101407]; Natural Science Foundation of Hubei Province, ChinaNatural Science Foundation of Hubei Province [2014CFB377, 2010CDZ005]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU15A02001]; Wuhan Youth Science and technology plan [2016070204010137]; National undergraduate training programs for innovation and entrepreneurship [B2015007]
机构署名:
本校为其他机构
院系归属:
城市与环境科学学院
摘要:
The grey value g (x, y)of pixel on radiometric spectrum is regarded as a function of the geometric coordinates (x, y). Hence, there is a unity of opposite relationships between the geometric and radiometric information, such that, these two types of information cannot be separated. Therefore, this paper proposes a novel geometric and radiometric simultaneous correction model (GRSCM) framework inspired and developed from least squares matching (LSM). Based on the Gauss-Markov model, geometric and radiometric correction coefficients are integrated and solved by an iterative method with variable ...

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