Multi-temporal satellite image classification using spectral class database

Ching Luen Ju, Chi Farn Chen, Li Yu Chang, Hung Yu Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Many computer-assisted classification algorithms have been developed to produce the land-cover maps from multi-spectral satellite images. Since the influence of the atmospheric conditions and the change of the earth surface, most of the image classification methods are image-dependent. For instance, a great number of supervised classification algorithms normally can not apply the same training data to multi-temporal image classification. As a result, the training data has to be re-selected image by image in order to perform multi-temporal image classification. The purpose of this study is to develop an image-invariant classification technique to classify multi-temporal satellite images.

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主出版物標題Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006
頁面979-984
頁數6
出版狀態已出版 - 2006
事件27th Asian Conference on Remote Sensing, ACRS 2006 - Ulaanbaatar, Mongolia
持續時間: 9 10月 200613 10月 2006

出版系列

名字Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006

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???event.eventtypes.event.conference???27th Asian Conference on Remote Sensing, ACRS 2006
國家/地區Mongolia
城市Ulaanbaatar
期間9/10/0613/10/06

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