Title :
Effects of parameter tuning and de-speckle filtering on the accuracy of SAR image classification based on gray-level co-occurrence matrix features
Author :
Bruzzone, L. ; Serpico, S.B. ; Vernazza, G.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The results of an experimental investigation of the use of textural features computed from the gray-level co-occurrence matrix for synthetic aperture radar (SAR) image classification are reported and discussed. The investigation, carried out on SAR images acquired with the SIR-C/X-SAR sensor in an Italian agricultural area, makes it possible to derive interesting information about the computation modalities and the effectiveness of the above textural features
Keywords :
geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; Italy; SAR; SAR images; SIR-C X-SAR; agriculture; computation modalities; de-speckle filtering; geophysical measurement technique; gray-level co-occurrence matrix features; image classification; image texture; land surface; parameter tuning; radar imaging; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; Adaptive optics; Electronic mail; Filtering; Image classification; Image sensors; Optical filters; Optical sensors; Pixel; Sensor phenomena and characterization; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615250
