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The Technical Framework of Multi-source Remote Sensing Data Mining

HuiliGongJingliWenjiZhaoSongmeiZhang

2004Acta Scientiarum Naturalium Universitatis SunyatseniComputer Science被引 2

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摘要

With the delivery of a great deal remote sensing data to land from Landsat constantly, Remote Sensing Satellite Ground Station accumulates abundant satellite remote sensing data. For lack of effective data mining (DM) and knowledge Discovery from Databases (KDD technique) to these data, most part of the information cannot be usede fficiently. Technical innovation and improvement of the traditional DM and KDD, study of the data mining and KDD will both increase the interpretation level and intelligentized, and moreover explore and utilize the remote sensing information at the maximum degree. Based on the traditional data mining and KDD, the authors probed the technical flow of DM and KDD of the remote sensing, designed the systematical framework of multi-sources remote sensing DM, put forward a prototypeEstablished a base for further exploring andsystem.of multi-sources remote sensing DM system. developing multi-sources remote sensing DM system.

引用本文(GB/T 7714)

HuiliGong, Jingli, WenjiZhao, 等. The Technical Framework of Multi-source Remote Sensing Data Mining[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2004.

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