Fuzzy Linear Regression Analysis of Land-cover Classification Using Remotely Sensed Data
نویسندگان
چکیده
منابع مشابه
Land Cover Classification using GA based Fuzzy Clustering Techniques for Remotely Sensed Data
Remote Sensing Imagery is used by the Government and private agencies for the wide range of applications from military to farm development. Fuzzy c-means clustering is an effective algorithm, but the random selection in center points makes iterative process falling into the local optimal solution easily. In this Paper, a novel clustering method is developed using GA based clustering techniques....
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ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 1998
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.118.11_1562