The effectivity of double filter to reduce the speckle and detect flood inundation area on ALOS/PALSAR image

A. Besse Rimba, Fusanori Miura, Martiwi Diah Setiawati, Abu Bakar Sambah, Abd Rahman As-Syakur

研究成果: Conference contribution

抄録

Flood is one of the devastating natural disasters. By applying remote sensing technology, we determined the flood inundation areas, using the Synthetic Apertures Radar (SAR) sensor. Removing the speckles due to the phase fluctuations of the electromagnetic return radar signals by filtering 2 times image by using small kernel size to prevent losing information. The kernel size was 3×3. Removing the speckles by single filter and double filters, we applied and combined14 kind of filters (Low Pass filters, Gaussian Low Pass filters, Median filters, Sobel filters, Roberts, User-defined convolution filter, Lee filters, Enhanced Lee filters, Frost filters, Enhanced frost filters, Gamma filters, Kuan filters, Local sigma filters, and Bit error filters). Using a single filter the best filter is Gamma filter and for the double filter, Local Sigma filter combined with Low Pass filter, Enhanced Frost and Enhanced Lee. The Sobel filter, Kuan filter and Robert filter could not be applied for flood inundation analysis because these filters are unable to reduce the speckle and prevent information.

本文言語English
ホスト出版物のタイトル37th Asian Conference on Remote Sensing, ACRS 2016
出版社Asian Association on Remote Sensing
ページ1493-1502
ページ数10
ISBN(電子版)9781510834613
出版ステータスPublished - 2016
外部発表はい
イベント37th Asian Conference on Remote Sensing, ACRS 2016 - Colombo, Sri Lanka
継続期間: 2016 10月 172016 10月 21

出版物シリーズ

名前37th Asian Conference on Remote Sensing, ACRS 2016
2

Other

Other37th Asian Conference on Remote Sensing, ACRS 2016
国/地域Sri Lanka
CityColombo
Period16/10/1716/10/21

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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