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Non-wood forest is a kind of important forest resource. This paper focused on the information extraction of non-wood forest based on Advanced Land Observation Satellite (ALOS) data. Band characteristics were analyzed to get understanding of this data wholly by information content, correlation coefficient and Optimum Index Factor (OIF). A new set of data with eight bands were obtained by the fusion...
A novel fusion scheme is proposed for multispectral (MS) and panchromatic (PAN) satellite images using Principal Component Analysis (PCA) and Nonsubsampled Contourlet Transform (NSCT). This scheme first performs PCA on MS, and NSCT on PAN and the first principal component (PC1) to get corresponding low-frequency and high-frequency coefficients, then fuses the approximation coefficients using PCA again...
The pattern recognition of remote sensing images is based on the different spectral characteristics of surface features to identify the features type, mainly including the supervised classification and unsupervised classification. In this paper, the TM remote sensing images are preprocessed firstly, and then land-covered features are classified using the maximum likelihood method, the minimum distance...
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