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

Maria del Carmen VALDES  Minoru INAMURA  

IEICE TRANSACTIONS on Information and Systems   Vol.E81-D   No.8   pp.872-880
Publication Date: 1998/08/25
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing,Computer Graphics and Pattern Recognition
neural networks,  resolution improvement,  data fusion,  multispectral image,  remote sensing,  

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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 improvement of a remotely sensed low resolution thermal infrared image using high spatial resolution of visible and near-infrared images from Landsat TM sensor is described. The same work is done by an algebraic method. The tests developed are explained and examples 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.