Multiresolution Remote Sensing Image Clustering

Remote Sensing Image Fusion with a Multiresolution Directional-Oriented Image Transform Based on Gaussian Derivatives

A methodology for image fusion based on the Hermite transform is presented. First, we demonstrate fusion with multispectral images from the same satellite (Landsat 7 ETM+) with different spatial resolutions. In this case we show how the proposed method can help improve spatial resolution. In the second case we show fusion with different sensor images, namely SAR and multispectral Landsat 5 TM. ...

Remote Sensing Image Processing

About SYNTHESIs This volume is a printed version of a work that appears in the Synthesis Digital Library of Engineering and Computer Science. Synthesis Lectures provide concise, original presentations of important research and development topics, published quickly, in digital and print formats. For more information visit www.morganclaypool.com SYNTHESIS LECTURES ON IMAGE, VIDEO & MULTIMEDIA PRO...

Remote Sensing Image Classification

Fuzzy Image Classification Using Multiresolution Neural Networks with Applications to Remote Sensing

Recent progress in supervised image classification research, has demonstrated the potential usefulness of incorporating fuzziness in the training, allocation and testing stages of several classification techniques. In this paper a multiresolution neural network approach to supervised classification is presented, exploiting the inherent fuzziness of such techniques in order to perform classifica...

Image Fusion in Remote Sensing

Methods for fusing multispectral low-resolution remotely sensed images with a more highly resolved panchromatic image are described. The goal is to obtain a high-resolution multispectral image which combines the spectral characteristic of the low-resolution data with the spatial resolution of the panchromatic image. Unlike other applications, e.g. image fusion in military missions or computer-a...