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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication37th Asian Conference on Remote Sensing, ACRS 2016
PublisherAsian Association on Remote Sensing
Pages1493-1502
Number of pages10
ISBN (Electronic)9781510834613
Publication statusPublished - 2016
Externally publishedYes
Event37th Asian Conference on Remote Sensing, ACRS 2016 - Colombo, Sri Lanka
Duration: 2016 Oct 172016 Oct 21

Publication series

Name37th Asian Conference on Remote Sensing, ACRS 2016
Volume2

Other

Other37th Asian Conference on Remote Sensing, ACRS 2016
Country/TerritorySri Lanka
CityColombo
Period16/10/1716/10/21

Keywords

  • ALOS/PALSAR
  • Filter
  • Flood
  • Speckle

ASJC Scopus subject areas

  • Computer Networks and Communications

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