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Automatic Training Sample Selection for a Multi-Evidence Based Crop Classification Approach
Crop Classification Training Vector Neural Satellite Imagery Learning
2014/9/29
An approach to use the available agricultural parcel information to automatically select training samples for crop classification is investigated. Previous research addressed the multi-evidence crop c...
AUTOMATIC TRAINING SITE SELECTION FOR AGRICULTURAL CROP CLASSIFICATION: A CASE STUDY ON KARACABEY PLAIN, TURKEY
Crop Classification Agriculture Segmentation Mean-Shift Kompsat-2
2014/6/5
This study implements a traditional supervised classification method to an optical image composed of agricultural crops by means of
a unique way, selecting the training samples automatically. Panch...