A design of category classification system for high resolution satellite

Masanori Nakano, Kazi A. Kalpoma, Tomohiko Nakamura, Jun-Ichi Kudoh

研究成果: Paper査読

抄録

For the high resolution satellite image database obtained from IKONOS and Quickbird, we proposed a design including category classification system. These images are essentially different from the image NOAA AVHRR. Landsat TM, Spot, etc. Because obtained image is understood like an aeronautical Photograph. This system has a knowledge collection and high quality training function to classify the category.

本文言語English
ページ4516-4518
ページ数3
出版ステータスPublished - 2004 12 1
イベント2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
継続期間: 2004 9 202004 9 24

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
国/地域United States
CityAnchorage, AK
Period04/9/2004/9/24

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 地球惑星科学(全般)

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