Advancement Through Research
Land Use and Land Cover (LULC) data from remote sensing imagery have given various dimensions of benefits in different applications. Proposed work has applied a next-level approach to extract the pattern of change in the objects of LULC with time. The LULC mapped data has been applied to develop the predictive model for the LULC objects. The adaptive form of multilayer perceptron (MLP) architecture has been applied to make predictor efficient. The different regions of Karnataka state have been considered for analyzing the experimental results. The proposed model has shown a high level of prediction accuracy and can be considered as a support system for remote sensing-based applications for LULC.
Adaptive Architecture, Land Cover Land Use, Neural Network, Predicting Model
