ulerinde D¨ uzenli Dikim Alanlarinin Belirlenmesi Detecting Regular Plantation Areas in Satellite Images

Detecting, segmenting and classifying agricultural fields in re- mote sensing images enable advanced planning of the land use economically. As most human structures, plants are cultivated in some order in orchards or farms. In this paper, a regularity detection method is proposed for exploiting this order informa- tion. The method slides windows over the spot filter responses of satellite images and analyzes their projection vectors. A re- gularity coefficient is calculated for each window. These regula- rity coefficients are further used for creating a regularity map, where regular regions obtain higher scores. These regularity maps can later be employed for the segmentation and classi- fication of cultivation lands. The proposed method is illustrated in the detection of hazelnut orchards in sample high resolution satellite images.