@inproceedings {601, title = {Shape Preserving Edge Enhancement in Remote Sensing Imagery}, booktitle = {IEEE International Geoscience and Remote Sensing Symposium}, year = {2002}, abstract = {

A novel approach to geometric shape preservation of remote sensing SAR sea ice images is presented in this paper. This approach will complement the existing edge detection schemes. The final edge is evolved by iterations. During each iteration all existing edges are checked for missing link and missing links are found by checking the orientation of the existing edges and by searching for best gradient path. When open edges are reduced considerably, opening of the features that are critical for shape preservation are found by tracing the edges and closing the boundary.

}, keywords = {best gradient path, edge detection, geometric shape preservation, geophysical signal processing, image enhancement, iteration, iterative method, measurement technique, missing link, ocean, oceanographic techniques, orientation, radar imaging, radar remote sensing, remote sensing by radar, SAR, sea ice, shape preserving edge enhancement, spaceborne radar, synthetic aperture radar}, doi = {http://dx.doi.org/10.1109/IGARSS.2002.1026145}, author = {M S. Chowdhury and D A. Clausi} } @inproceedings {500, title = {Data fusion of sea-surface temperature data}, booktitle = {IEEE Geoscience and Remote Sensing Society}, year = {2000}, abstract = {

The problem of data fusion, the merging of data taken by different sensors, becomes ever more relevant with the launch of each new remote-sensing platform. One example of considerable current interest in the climate change community is the production of an improved sea surface temperature (SST) map. In particular, two state-of-the-art instruments - the Along Track Scanning Radiometer (ATSR) and AVHRR - share complementary features: ATSR allows excellent cloud discrimination and atmospheric correction based on its dual-view scanning geometry, but observes only narrow swaths of ocean; AVHRR suffers from low-wavenumber atmospheric distortions and cloud contamination, but has extensive global coverage. The authors propose a methodology for combining ocean skin temperatures from the ATSR and AVHRR instruments to produce a continuous analysis at one-sixth degree spatial and three-day temporal resolutions, together with reliable error estimates, from the fusion of multiple datasets with arbitrary sampling characteristics, resulting in estimated temperatures which unite the precision of ATSR with the superior coverage afforded by AVHRR

}, keywords = {ATSR, AVHRR, coverage, Data fusion, geophysical signal processing, he Along Track Scanning Radiometer, infrared radiometry, IR radiometry, measurement technique, multiple dataset, multispectral remote sensing, ocean, ocean skin temperature, oceanographic techniques, precision, Remote Sensing, sea surface temperature, sensor fusion, SST, visible}, doi = {http://dx.doi.org/10.1109/IGARSS.2000.858311}, author = {P Fieguth and F M. Khellah and M J. Murray and M R. Allen} } @inproceedings {461, title = {Multiresolution stochastic processing of Topex/Poseidon oceanographic altimetry}, booktitle = {IEEE OCEANS{\textquoteright}94}, year = {1994}, abstract = {

Remarkable advances in remote sensing are producing measurements on increasingly finer grids, offering the possibility of a far better understanding and characterization of the ocean surface. The sheer quantity of measurements has rendered traditional data smoothing/assimilation algorithms obsolete however, even on high performance workstations; the basis of this paper is the application of an extremely fast multiresolution smoothing framework to ocean altimetry data. Using the previously developed multiresolution framework, a simple multiscale model is developed which captures the characteristic power-law spectrum of the ocean surface. Smoothing altimetric data and computing error variances on a grid of 512 by 512 points is accomplished in about 10 seconds on a SUN Sparc-10. Finally, further applications of this framework within the oceanographic context are discussed, including model identification and anomaly detection

}, keywords = {algorithm, data assimilation, data smoothing, geophysical signal processing, geophysics computing, measurement technique, multiresolution stochastic processing, multiscale model, ocean dynamics, ocean surface, oceanographic techniques, Poseidon, radar altimetry, radar applications, radar imaging, radar signal processing, Remote Sensing, remote sensing by radar, satellite remote sensing, sea surface, signal processsing, Topex}, doi = {http://dx.doi.org/10.1109/OCEANS.1994.363913}, author = {P Fieguth and W C. Karl and A S. Willsky} } @inproceedings {462, title = {Passive microwave imagery of a tropical storm near 118 GHz thermal and precipitation structure}, booktitle = {IGARSS {\textquoteright}94}, year = {1994}, abstract = {

An imaging microwave radiometer with eight double-sideband channels centered on the 118.75-GHz (1-)oxygen resonance was flown on a NASA ER-2 high altitude aircraft over a tropical cyclone in the Coral Sea, east of Australia. An eyewall of strong convection and a warm core within the eye are clearly visible. Brightness temperatures observed within the eye are approximately 10K warmer than those observed in clear air 100 km away. This warming extends somewhat beyond the eyewall in the highest (most opaque) channel. Two passes three hours apart may reveal a slight weakening of the convective activity. This flight provides the first known calibrated high-resolution 18.75 GHz imagery of a tropical storm. Temperature profiles and cloud-top altitudes may be inferred from the data

}, keywords = {118 GHz, 118.75 GHz, AD 1993 02 07, airborne remote sensing, atmosphere, atmospheric techniques, atmospheric temperature, brightness temperature, Coral Sea, double-sideband channels, EHF mm wave millimetric radiometry, eyewall, measurement technique, meteorology, microwave image, millimetre wave measurement, passive microwave imagery, precipitation structure, radiometry, rain, Remote Sensing, storm, storms, strong convection, tropical cyclone, tropical storm, warm core}, doi = {http://dx.doi.org/10.1109/IGARSS.1994.399760}, author = {M J. Schwartz and J W. Barrett and P Fieguth and P W. Rosenkranz and M S. Spina and D H. Staelin} }