@inproceedings{3eca544738b84a7498bd70e0bd9995f4,
title = "Classification of wetland vegetation by texture analysis methods using ERS-1 and JERS-1 images",
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. 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.",
author = "Yoshiki Yamagata and Yoshifumi Yasuoka",
year = "1993",
language = "English",
isbn = "0780312406",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Publ by IEEE",
pages = "1614--1616",
editor = "Sadao Fujimura",
booktitle = "Better Understanding of Earth Environment",
note = "Proceedings of the 13th Annual International Geoscience and Remote Sensing Symposium ; Conference date: 18-08-1993 Through 21-08-1993",
}