Title :
Comparison of the information content in optical and high resolution SAR images of the Amazon rain forest
Author :
Lombardo, Pierfrancesco ; Rossi, Alessandro
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
A new algorithm for jointly exploiting mean and texture in the segmentation of high resolution SAR images is proposed. The coincidence with the classification of the rain forest from Thematic Mapper (TM) images is demonstrated, for three classes: forest, clearings and regrowth areas. Also the ability to extract information not available in TM data is shown
Keywords :
forestry; geophysical signal processing; geophysical techniques; image classification; image segmentation; image texture; radar imaging; remote sensing; remote sensing by radar; sensor fusion; synthetic aperture radar; vegetation mapping; Amazon; SAR; Thematic Mapper; algorithm; clearing; geophysical measurement technique; high resolution; image classification; image segmentation; image texture; information content; multispectral remote sensing; optical image; radar remote sensing; rain forest; regrowth area; synthetic aperture radar; tropical forest; vegetation mapping; Data mining; Fluctuations; Image resolution; Image segmentation; Layout; Pixel; Rain; Remote sensing; Satellites; Statistics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860548
