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Stepwise-then-intelligent algorithm (STIA) for optimizing remotely sensed image rectification

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成果类型:
期刊论文
作者:
Li, Chang*;Liu, Jinxin;Wang, Xueyu;Liu, Xiaojuan;Wu, Yijin
通讯作者:
Li, Chang
作者机构:
[Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.
[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
通讯机构:
[Li, Chang] C
Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.
Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Least squares approximations;Particle swarm optimization (PSO);Rational functions;Conventional methods;Image rectification;Intelligent Algorithms;Partial least square (PLS);Polynomial modeling;Rational function model;Remotely sensed images;Uncertainty propagation;Genetic algorithms;genetic algorithm;image analysis;least squares method;numerical model;optimization;parameterization;remote sensing
期刊:
International Journal of Remote Sensing
ISSN:
0143-1161
年:
2018
卷:
39
期:
21
页码:
7350-7369
基金类别:
The authors thank the National Natural Science Foundation of China (NSFC) [Grant numbers 41771493 and 41101407] and the Natural Science Foundation of Hubei Province [Grant numbers 2014CFB377 and 2010CDZ005], China, the self-determined research funds of CCNU from the colleges’ basic research and operation of MOE [Grant number CCNU15A02001] for supporting this work and Wuhan Youth Science and technology plan [Grant number 2016070204010137].
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
To address the problems of parameter selection and accuracy optimization of models in image rectification, this article first proposes a novel stepwise-then-intelligent algorithm (STIA) for image rectification optimization, which includes the following steps. First, stepwise regression is suggested to simultaneously solve the over-parameterization problem and select the optimum parameters of the polynomial model and rational function model according to different terrains. Second, intelligent algorithms, e.g. the genetic algorithm (GA) and particle swarm optimization (PSO), are proposed to sear...

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