Spatial Resolution Improvement of a Low Spatial Resolution Thermal Infrared image by Backpropagated Neural Networks

摘要

Recent progress in neural network research has demonstrated the usefulness of neural networks in a variety of areas. In this work, its application in the spatial resolution im- provement of a remotely sensed low resolution thermal infrared image using high spatial resolution of visible and near-infrared image from Landsat TM sensor is described. The same work is done by an algebraic method. The tests developed are explained and examplex of the results obtained in each test are shown and compared with each other. The error analysis is also carried out. Future improvements of these methods are evaluated.