TY - GEN
T1 - The effectivity of double filter to reduce the speckle and detect flood inundation area on ALOS/PALSAR image
AU - Rimba, A. Besse
AU - Miura, Fusanori
AU - Setiawati, Martiwi Diah
AU - Sambah, Abu Bakar
AU - As-Syakur, Abd Rahman
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - ALOS/PALSAR
KW - Filter
KW - Flood
KW - Speckle
UR - http://www.scopus.com/inward/record.url?scp=85018443763&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018443763&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85018443763
T3 - 37th Asian Conference on Remote Sensing, ACRS 2016
SP - 1493
EP - 1502
BT - 37th Asian Conference on Remote Sensing, ACRS 2016
PB - Asian Association on Remote Sensing
T2 - 37th Asian Conference on Remote Sensing, ACRS 2016
Y2 - 17 October 2016 through 21 October 2016
ER -