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Very High-resolution Airborne Digital Sensor Data Fusion and Spatial Modelling
S. Senthil
Senior Research Engineer
PASCO Geomatics India,
Email: s_senthil@pascoindo.com
Disparate information from airborne remote sensing digital data such as a digital surface model (DSM), RGB (ADS40), thermal (TABI) and hyperspectral images (AISA) of different period have been combined for subtle change-detection application study. Through Bayesian methods, involving weights of evidence modelling, all the sensor images are analysed and finally four binary patterns (indicator images) are identified automatically as significant for change-detection application. The datafusion system developed in this research is capable of detecting changes in man-made features automatically in a densely populated area where there are no much prior information.
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