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Endmember Extraction of Hyperspectral Remote Sensing Images Based on an Improved Discrete Artificial Bee Colony Algorithm and Genetic Algorithm
Fu, Zheng1; Pun, Chi-Man2; Gao, Hao1,2; Lu, Huimin3
2018-09-08
Source PublicationMobile Networks and Applications
Abstract

Aiming at improving the performance of the endmember extraction problem in hyperspectral images, a new extraction method based on discrete hybrid artificial bee colony algorithm and genetic algorithm (DABC_GA) is proposed. By analyzing the characteristic of the problem, each dimension of candidate solution is a discrete and exclusive integer. Then we employ an optimization method with integral coding. By inheriting the strong exploration ability of the traditional artificial bee colony algorithm (ABC), we propose a discrete ABC which could quickly obtain more valuable endmembers combinations in the early stage. Then we select some outstanding results of DABC as the potential solutions of GA, which is adopted as another optimization tool in the later stage of iteration. The concept of complementary sets is proposed in the cross and mutation operators to guarantee the diversity and completeness of solutions. Meanwhile, the greedy strategy is adopted to ensure that the favorable potential solutions are not discarded. Compared with conventional extraction algorithms in simulated and real hyperspectral remote sensing data, the experimental results show the validity of our proposed algorithm.

KeywordEndmember Extraction Problem Artificial Bee Colony Algorithm Genetic Algorithm Integer Optimization
DOIhttps://doi.org/10.1007/s11036-018-1122-z
URLView the original
Language英语
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Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Nanjing University of Posts and Telecommunications
2.University of Macau
3.Kyushu Institute of Technology
Recommended Citation
GB/T 7714
Fu, Zheng,Pun, Chi-Man,Gao, Hao,et al. Endmember Extraction of Hyperspectral Remote Sensing Images Based on an Improved Discrete Artificial Bee Colony Algorithm and Genetic Algorithm[J]. Mobile Networks and Applications,2018.
APA Fu, Zheng,Pun, Chi-Man,Gao, Hao,&Lu, Huimin.(2018).Endmember Extraction of Hyperspectral Remote Sensing Images Based on an Improved Discrete Artificial Bee Colony Algorithm and Genetic Algorithm.Mobile Networks and Applications.
MLA Fu, Zheng,et al."Endmember Extraction of Hyperspectral Remote Sensing Images Based on an Improved Discrete Artificial Bee Colony Algorithm and Genetic Algorithm".Mobile Networks and Applications (2018).
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