DocumentCode :
3349702
Title :
Multitemporal and multisensor signatures evaluation for lithologic classification
Author :
Loizzo, R. ; Pappalepore, M. ; Pasquariello, G. ; Antoninetti, M.
Author_Institution :
ASI-Centro di Geodesia Spaziale, Matera
Volume :
3
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
2209
Abstract :
Focuses on the evaluation of the potentiality of remote sensing exploitation for geological applications in the Mediterranean area. The test site of the “Fossa Bradanica” (South of Italy) has been considered. Different data sets have been considered: optical multitemporal, microwave multitemporal and combined optical and microwave. On the basis of a maximum likelihood rule an analysis of the spectral signatures extracted from lithologic classes obtained by cartographic maps and ground truth has been performed, either on LANDSAT TM data or ERS-1 data. In order to reduce the vegetation influence in lithological signature evaluation vegetation mask is used. Then the best data combination and the best season of acquisition for the minimization of the confusion are defined. The obtained results are shown
Keywords :
geophysical signal processing; geophysical techniques; image classification; radar imaging; remote sensing; remote sensing by radar; sensor fusion; Fossa Bradanica; IR; Italy; Mediterranean; geology; geophysical measurement technique; infrared; land surface; lithologic classification; maximum likelihood rule; microwave; minimization; multisensor signature; multitemporal method; optical imaging; radar; remote sensing; spectral signatures; terrain mapping; visible; Data analysis; Data mining; Geology; Optical sensors; Remote sensing; Rivers; Satellites; Spectral analysis; Testing; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
Type :
conf
DOI :
10.1109/IGARSS.1995.524150
Filename :
524150
Link To Document :
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