Classification of wetland vegetation by texture analysis methods using ERS-1 and JERS-1 images

Yoshiki Yamagata, Yoshifumi Yasuoka

研究成果: Conference contribution

25 被引用数 (Scopus)

抄録

Images obtained by the C-band (5.3 GHz, 5.7 cm) VV-polarized ERS-1 SAR and the L-band (1.275 GHz, 23.5 cm) HH-polarized JERS-1 SAR were analyzed for the classification of wetland vegetation types. Both scenes were obtained when the wetland vegetation was at the maximum biomass stage. We applied texture analysis method using the cooccurrence matrix to classify the vegetation of the Kushiro mire. The result of the classification was evaluated comparing with the result using the SPOT data. As a result, it is shown that several texture features of SAR images are useful for the wetland vegetation classification. We especially demonstrate that the bog and the fen vegetation in the wetland can be segregated using JERS-1 image, and also the swamp forest can be delineated from the fen vegetation using ERS-1 image.

本文言語English
ホスト出版物のタイトルBetter Understanding of Earth Environment
編集者Sadao Fujimura
出版社Publ by IEEE
ページ1614-1616
ページ数3
ISBN(印刷版)0780312406
出版ステータスPublished - 1993
外部発表はい
イベントProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium - Tokyo, Jpn
継続期間: 1993 8月 181993 8月 21

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)
4

Conference

ConferenceProceedings of the 13th Annual International Geoscience and Remote Sensing Symposium
CityTokyo, Jpn
Period93/8/1893/8/21

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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