Classification of forest types based on an analysis of textural characteristics for SIR-C SAR imagery

The paper describes methods for classifying ground covers based on an analy sis of textural characteristics, formed as a result of the processing of im ages acquired using a synthetic aperture radar (SAR). For the computation o f the textural elements the paper considers the use of a set of statistical characteristics and also of matrices of transition probabilities for the a mplitudes of SAR image readings. Results of the processing of SIR-C SAR ima ges acquired from the Shuttle, using the given methods for the classificati on of forest types, are given.