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IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
EVALUATION OF THE USEFULNESS OF TEXTURE MEASURES FOR CROP TYPE CLASSIFICATION BY HYPERION DATA
Hyperspectral Texture Quantization Classification Hyperion Linear Spectral Unmixing
2015/12/28
Availability of new generation of hyperspectral sensors such as the Hyperion has lead to new challenges in the area of crop type mapping and agricultural management. Many crops like wheat and barley a...