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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40565

Title: Multispectral Image Compression Using Eigen-region-based Segmentation
Authors: Lena Chang;Ching-Min Cheng
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2001
Issue Date: 2017-01-20T03:33:15Z
Publisher: Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Abstract: Abstract: In the study, we present an effective segmentation technique for multispectral image compression. This technique fully exploits the spectral and spatial correlation in the data. The original image is first divided into some proper eigen-regions according to the local terrain characteristics of the image. Then, each region image is transformed by the corresponding KL transformation function and results in an eigen-region image for further compression. Simulation tests performed on Landsat TM images have demonstrated that the proposed compression scheme is suitable for multispectral image.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40565
Appears in Collections:[通訊與導航工程學系] 期刊論文

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