DocumentCode
2050670
Title
Classification of wetland vegetation by texture analysis methods using ERS-1 and JERS-1 images
Author
Yamagata, Yoshiki ; Yasuoka, Yoshifumi
Author_Institution
Div. of Social & Environ. Syst., Nat. Inst. for Environ. Studies, Ibaraki, Japan
fYear
1993
fDate
18-21 Aug 1993
Firstpage
1614
Abstract
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. The authors 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. The authors 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
Keywords
forestry; geophysical techniques; image recognition; image texture; remote sensing; remote sensing by radar; synthetic aperture radar; 1.275 GHz; 5.3 GHz; C-band L-band UHF SHF microwave; ERS-1; JERS-1; Japan; Kushiro mire; bog; cooccurrence matrix; fen; geophysical measurement technique; image classification; land surface; maximum biomass stage; polarized; radar remote sensing SAR; swamp forest; texture analysis method; vegetation type; wetland vegetation; Biomass; Clouds; Image analysis; Image texture analysis; Microwave sensors; Optical scattering; Pixel; Remote monitoring; Satellites; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location
Tokyo
Print_ISBN
0-7803-1240-6
Type
conf
DOI
10.1109/IGARSS.1993.322073
Filename
322073
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