Band selection for hyperspectral images using probabilistic memetic algorithm

• Main Authors: FENG, Liang, TAN, Ah-hwee, LIM, Meng-Hiot, JIANG, Si Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Hyperspectral image; Band selection; Memetic algorithm; Databases and Information Systems; Software Engineering; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5207; https://ink.library.smu.edu.sg/context/sis_research/article/6210/viewcontent/Band_selection_for_hyperspectral_images_using_probabilistic_memetic_algorithm.pdf
• Institution: Singapore Management University

Band selection plays an important role in identifying the most useful and valuable information contained in the hyperspectral images for further data analysis such as classification, clustering, etc. Memetic algorithm (MA), among other metaheuristic search methods, has been shown to achieve competit...