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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/33438

Title: A Parallel Simulated Annealing Approach to Band Selection for High-Dimensional Remote Sensing Images
Authors: Chang Yang-Lang Lang;Chen Kun-Shan S.;Huang Bormin;Chang Wen-Yen;Benediktsson Jón Atli;Chang Lena
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2011-09
Issue Date: 2013-03-20T06:37:03Z
Publisher: Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Abstract: abstract:In this paper a parallel band selection approach, referred to as parallel simulated annealing band selection (PSABS), is presented for high-dimensional remote sensing images. The approach is based on the simulated annealing band selection (SABS) scheme which is originally designed to group highly correlated hyperspectral bands into a smaller subset of modules regardless of the original order in terms of wavelengths. SABS selects sets of correlated hyperspectral bands based on simulated annealing (SA) algorithm and utilizes the inherent separability of different classes to reduce dimensionality. In order to be effective, the proposed PSABS is introduced to improve the computational performance by using parallel computing technique. It allows multiple Markov chains (MMC) to be traced simultaneously and fully utilizes the parallelism of SABS to create a set of SABS modules on each parallel node. Two parallel implementations, namely the message passing interface (MPI) cluster-based library and the open multi-processing (OpenMP) multicore-based application programming interface, are applied to three different MMC techniques: non-interacting MMC, periodic exchange MMC and asynchronous MMC for evaluation. The effectiveness of the proposed PSABS is evaluated by NASA MODIS/ASTER (MASTER) airborne simulator data sets and airborne synthetic aperture radar (SAR) images for land cover classification during the Pacrim II campaign in the experiments. The results demonstrated that the MMC techniques of PSABS can significantly improve the computational performance and provide a more reliable quality of solution compared to the original SABS method.
Relation: 4(3), pp.579-590
URI: http://ntour.ntou.edu.tw/handle/987654321/33438
Appears in Collections:[通訊與導航工程學系] 期刊論文

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