A design of category classification system for high resolution satellite

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

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Pages4516-4518
Number of pages3
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: 2004 Sep 202004 Sep 24

Other

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

Keywords

  • Category
  • Classification
  • IKONOS

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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