Publication Date:
2019-07-13
Description:
Two image processing experiments are described using a MSS-LANDSAT scene from the Tres Marias region and a shuttle Imaging Radar SIR-A image digitized by a vidicon scanner. In the first experiment the study area is analyzed using the original and preprocessed SIR-A image data. The following thematic classes are obtained: (1) water, (2) dense savanna vegetation, (3) sparse savanna vegetation, (4) reforestation areas and (5) bare soil areas. In the second experiment, the SIR-A image was registered together with MSS-LANDSAT bands five, six, and seven. The same five classes mentioned above are obtained. These results are compared with those obtained using solely MSS-LANDSAT data. The spatial information as well as coregistered SIR-A and MSS-LANDSAT data can increase the separability between classes, as compared to the use of raw SIR-A data solely.
Keywords:
EARTH RESOURCES AND REMOTE SENSING
Type:
E84-10148
,
NASA-CR-173238
,
NAS 1.26:173238
,
INPE-3113-PRE/510
,
Intern. Soc. for Photogrammetry and Remote Sensing Congr.; Jun 18, 1984 - Jun 29, 1984; Rio de Janeiro; Brazil
Format:
application/pdf
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