期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2011
卷号：XXXVIII - 4/W19
页码：259-264
DOI：10.5194/isprsarchives-XXXVIII-4-W19-259-2011
出版社：Copernicus Publications
摘要：In this study, the impact of the use of backscattering intensity and texture features obtained from TerraSAR-X images for LULC classification of agricultural and forest areas, and its combination with features extracted from Landsat 7 EMT+ optical imagery is analyzed. The performance of texture descriptors on radar images is evaluated. After data pre-processing and the definition of classes in the study area, every object is described by means of a set of features computed from the TerraSAR-X and optical imagery, using a plot-based approach. Cadastral cartographic limits are employed for objects definition. Next, objects are classified using decision trees combined with boosting techniques. The classification results are compared to the LULC contained in the testing database, and the errors evaluated in terms of the different groups of variables, the source of data used, and their performance for the variety of classes considered. The classification results bring some possibilities and limitations of combining features from optical and radar imagery, evidence the complementary information provided by both types of data to face these applications
