Band selection for hyperspectral images based on parallel particle swarm optimization schemes

Yang Lang Chang, Jyh Perng Fang, Lena Chang, Jon Atli Benediktsson, Hsuan Ren, Kun Shan Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

20 引文 斯高帕斯(Scopus)

摘要

Greedy modular eigenspaces (GME) has been developed for the band selection of hyperspectral images (HSI). GME attempts to greedily select uncorrelated feature sets from HSI. Unfortunately, GME is hard to find the optimal set by greedy operations except by exhaustive iterations. The long execution time has been the major drawback in practice. Accordingly, finding an optimal (or near-optimal) solution is very expensive. In this study we present a novel parallel mechanism, referred to as parallel particle swarm optimization (PPSO) band selection, to overcome this disadvantage. It makes use of a new particle swarm optimization scheme, a well-known method to solve the optimization problems, to develop an effective parallel feature extraction for HSI. The proposed PPSO improves the computational speed by using parallel computing techniques which include the compute unified device architecture (CUDA) of graphics processor unit (GPU), the message passing interface (MPI) and the open multi-processing (OpenMP) applications. These parallel implementations can fully utilize the significant parallelism of proposed PPSO to create a set of near-optimal GME modules on each parallel node. The experimental results demonstrated that PPSO can significantly improve the computational loads and provide a more reliable quality of solution compared to GME. The effectiveness of the proposed PPSO is evaluated by MODIS/ASTER airborne simulator (MASTER) HSI for band selection during the Pacrim II campaign.

原文???core.languages.en_GB???
主出版物標題2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
頁面V84-V87
DOIs
出版狀態已出版 - 2009
事件2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa
持續時間: 12 7月 200917 7月 2009

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
5

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???event.eventtypes.event.conference???2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
國家/地區South Africa
城市Cape Town
期間12/07/0917/07/09

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