HIGH PERFORMANCE COMPUTING IN REMOTE SENSING

By D. MIIND

CONTENTS INTRODUCTION HIGH-PERFORMANCE COMPUTER ARCHITECTURES FOR REMOTE SENSING DATA ANALYSIS: OVERVIEW AND CASE STUDY PARALLEL IMPLEMENTATION OF THE ORASIS ALGORITHM FOR REMOTE SENSING DATA ANALYSIS PARALLEL IMPLEMENTATION OF THE RECURSIVE APPROXIMATION OF AN UNSUPERVISED HIERARCHICAL SEGMENTATION ALGORITHM COMPUTING FOR ANALYSIS AND MODELING OF HYPERSPECTRAL IMAGERY PARALLEL IMPLEMENTATION OF MORPHOLOGICAL NEURAL NETWORKS FOR HYPERSPECTRAL IMAGE ANALYSIS PARALLEL WILDLAND FIRE MONITORING AND TRACKING USING REMOTELY SENSED DATA REMOTE SENSING GRIDS: ARCHITECTURE AND IMPLEMENTATION OPEN GRID SERVICES FOR ENVISAT AND EARTH OBSERVATION APPLICATIONS DESIGN AND IMPLEMENTATION OF A GRID COMPUTING ENVIRONMENT FOR REMOTE SENSING A SOLUTIONWARE FOR HYPERSPECTRAL IMAGE PROCESSING AND ANALYSIS ´ ´ ´ REMOTE SENSING AND HIGH-PERFORMANCE RECON?GURABLE COMPUTING SYSTEMS FPGA DESIGN FOR REAL-TIME IMPLEMENTATION OF CONSTRAINED ENERGY MINIMIZATION FOR HYPERSPECTRAL TARGET DETECTION REAL-TIME ONLINE PROCESSING OF HYPERSPECTRAL IMAGERY FOR TARGET DETECTION AND DISCRIMINATION REAL-TIME ONBOARD HYPERSPECTRAL IMAGE PROCESSING USING PROGRAMMABLE GRAPHICS HARDWARE