IMAGE PROCESSING FOR REMOTE SENSING
CONTENTS 1 POLARIMETRIC SAR TECHNIQUES FOR REMOTE SENSING OF THE OCEAN SURFACE 2 MRF-BASED REMOTE-SENSING IMAGE CLASSIFICATION WITH AUTOMATIC MODEL PARAMETER ESTIMATION 3 RANDOM FOREST CLASSIFICATION OF REMOTE SENSING DATA 4 SUPERVISED IMAGE CLASSIFICATION OF MULTI-SPECTRAL IMAGES BASED ON STATISTICAL MACHINE LEARNING 5 UNSUPERVISED CHANGE DETECTION IN MULTI-TEMPORAL SAR IMAGES 6 CHANGE-DETECTION METHODS FOR LOCATION OF MINES IN SAR IMAGERY 7 VERTEX COMPONENT ANALYSIS: A GEOMETRIC-BASED APPROACH TO UNMIX HYPERSPECTRAL DATA 8 TWO ICA APPROACHES FOR SAR IMAGE ENHANCEMENT 9 LONG-RANGE DEPENDENCE MODELS FOR THE ANALYSIS AND DISCRIMINATION OF SEA-SURFACE ANOMALIES IN SEA SAR IMAGERY 10 SPATIAL TECHNIQUES FOR IMAGE CLASSIFICATION 11 DATA FUSION FOR REMOTE-SENSING APPLICATIONS 12 THE HERMITE TRANSFORM: AN EFFICIENT TOOL FOR NOISE REDUCTION AND IMAGE FUSION IN REMOTE-SENSING ´ ´ 13 MULTI-SENSOR APPROACH TO AUTOMATED CLASSIFICATION OF SEA ICE IMAGE DATA 14 USE OF THE BRADLEY–TERRY MODEL TO ASSESS UNCERTAINTY IN AN ERROR MATRIX FROM A HIERARCHICAL SEGMENTATION OF AN ASTER IMAGE 15 SAR IMAGE CLASSIFICATION BY SUPPORT VECTOR MACHINE 16 QUALITY ASSESSMENT OF REMOTE-SENSING MULTI-BAND OPTICAL IMAGES POLARIMETRIC SAR TECHNIQUES FOR REMOTE SENSING OF THE OCEAN SURFACE SINGLE POLARIZATION VERSUS FULLY POLARIMETRIC SAR TECHNIQUES SAR SYSTEMS CONVENTIONALLY USE BACKSCATTER INTENSITY-BASED ALGORITHMS [2] TO MEASURE PHYSICAL OCEAN WAVE PARAMETERS SAR INSTRUMENTS, OPERATING AT A SINGLE-POLARIZATION, MEASURE WAVE-INDUCED BACKSCATTER CROSS SECTION, OR SIGMA-0, MODULATIONS THAT CAN BE IMAGE PROCESSING FOR REMOTE SENSING