Multisensor and Multiresolution Data Fusion for Interpretation of Urban Area.

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  • 都市域の判読を目的としたマルチセンサおよびマルチ解像度データの融合
  • トシイキ ノ ハンドク オ モクテキ ト シタ マルチセンサ オヨビ マルチ カイゾウド データ ノ ユウゴウ

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Abstract

This study examines some potential applications for an urban area interpretation using multisensor data. We can get different satellite images for a single test site. The study area was investigated using remote sensed imagery, such as DD-5, IRS-1C, and Landsat TM data. The objective of this study is to propose data mining and data fusion technique for the interpretation of urban area. The methods are used IHS transform and proposed methods (3S and 3H) . The spectral information of Landsat TM is extracted by the proposed data mining techniques. Then, this extracted spectral information is fused, by Brovey transform with high resolution remotely sensed data such as IRS-1C and DD 5. The conclusion is that data mining and data fusion has great potential to improve the performance of detailed urban area analysis using multisensor and multiresolution imagery. Fused images allowed for continual monitoring of infrastructure needs. The finer spatial resolution of space imagery will greatly enhance monitoring of urban area.

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