Land-use classification in central Spain using SIR-A and MSS imagery
- 1 October 1992
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 13 (15) , 2839-2848
- https://doi.org/10.1080/01431169208904085
Abstract
Methods for making more efficient use of synthetic aperture radar (SAR) imagery are considered. Local standard deviation and autocorrelation texture measures are used to provide information on the spatial variability in the scattering cross-section. Use of these statistics in a window of 180×180m improved classification success rates from 39 to 66 per cent with digitized shuttle imaging radar (S1R-A) data. Multispectral scanner (MSS) achieves 70 per cent success with the same window size and, by combining this with SAR, a 78 per cent success rate is reached.Keywords
This publication has 8 references indexed in Scilit:
- Tropical Deforestation In Para, Brazil: Analysis With Landsat And Shuttle Imaging Radar-aPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Shuttle imaging radar A analysis of land use in AmazoniaInternational Journal of Remote Sensing, 1988
- Comparison of Landsat MSS and SIR-A data for geological applications in PakistanInternational Journal of Remote Sensing, 1988
- Analysis of digital LANDSAT MSS and SEASAT SAR data for use in discriminating land cover at the urban fringe of Denver, ColoradoInternational Journal of Remote Sensing, 1985
- The influence of sensor and flight parameters on texture in radar imagesIEEE Transactions on Geoscience and Remote Sensing, 1984
- Textural Analysis And Real-Time Classification of Sea-Ice Types Using Digital SAR DataIEEE Transactions on Geoscience and Remote Sensing, 1984
- Crop Classification Using Airborne Radar and Landsat DataIEEE Transactions on Geoscience and Remote Sensing, 1982
- Textural Features for Radar Image AnalysisIEEE Transactions on Geoscience and Remote Sensing, 1981