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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/32951

Title: A Parallel Simulated Annealing Approach to Band Selection for High- Dimensional Remote Sensing Images
Authors: Yang-Lang Chang;Kun-Shan Chen;Bormin Huang;Wen-Yen Chang;Jon Atli Benediktsson;Lena Chang
張麗娜
Contributors: NTOU:Department of Communications Navigation and Control Engineering
國立臺灣海洋大學:通訊與導航工程學系
Keywords: 訊息傳遞介面;平行退火頻帶選取
Message passing interface (MPI), multiple
Date: 2011-09
Issue Date: 2012-06-18T08:12:53Z
Publisher: IEEE Journal of Selected Topics in Applied Earth Observations and Remotj06Sensing
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/987654321/32951
Appears in Collections:[通訊與導航工程學系] 期刊論文

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