Multisource Data Fusion Framework for Land Use/Land Cover Classification Using Machine Vision
نویسندگان
چکیده
منابع مشابه
Evaluation of Multiple Classifier Combination Techniques for Land Cover Classification Using Multisource Remote Sensing Data
Use of multisource remote sensing data, particularly Synthetic Aperture Radar (SAR) and optical images, can improve performance of land cover classification since many types of information are involved in the classification process. Recently, the multiple classification systems (MCS) or ensemble classifiers has been developed and increasingly used for classifying remote sensing data. It is cons...
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ژورنال
عنوان ژورنال: Journal of Sensors
سال: 2017
ISSN: 1687-725X,1687-7268
DOI: 10.1155/2017/3515418