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Using mixed pixels for the training of a maximum likelihood classification
Training Fuzzy Logic Method
2015/8/20
Most supervised image classification methods need pure pixels for training, which complicates training when pure pixels are
scarce. In these cases, it can be difficult to obtain a sufficiently large ...
SUB-PIXEL AND MAXIMUM LIKELIHOOD CLASSIFICATION OF LANDSAT ETM+ IMAGES FOR DETECTING ILLEGAL LOGGING AND MAPPING TROPICAL RAIN FOREST COVER TYPES IN BERAU, EAST KALIMANTAN, INDONESIA
Su-pixel Maximum Likelihood Forest Detection
2015/7/30
The tropical forest is depleting at a fast rate due to deforestation and degradation. Illegal logging was reported to be the cause of 50%
of the deforestation. Illegal logging is a very pressing iss...
MAXIMUM LIKELIHOOD CLASSIFICATION OF HIGH-RESOLUTION SAR IMAGES IN URBAN AREA
SAR Urban area supervised classification Maximum–Likelihood
2014/6/5
In this work, we propose a state-of-the-art on statistical analysis of polarimetric synthetic aperture radar (SAR) data, through the
modeling of several indices. We concentrate on eight ground class...