Title :
Radar remote sensing: land cover classification
Author :
Jaroszewski, Steve ; Lefevre, Russell
Author_Institution :
Technol. Service Corp., Los Angeles, CA, USA
Abstract :
The recent increase in the number of space-based and airborne synthetic aperture radar (SAR) systems and three-dimensional synthetic aperture radar systems (interferometric SAR; IFSAR) has resulted in new types of data that can complement other sensor systems and, in some cases, solve serious data collection deficiencies. These deficiencies are overcome because microwave sensors (SAR, IFSAR) can penetrate the ubiquitous cloud cover during the wet season in tropic and subtropic climates. They can also penetrate smoke that is often observed during the fire-prone dry season in regions such as the Amazon
Keywords :
airborne radar; radar imaging; radiowave interferometry; remote sensing by radar; spaceborne radar; synthetic aperture radar; terrain mapping; IFSAR; airborne synthetic aperture radar; cloud cover; data collection deficiencies; interferometric SAR; land cover classification; microwave sensors; radar remote sensing; smoke; space-based synthetic aperture radar; three-dimensional synthetic aperture radar; Image segmentation; Large-scale systems; Microwave sensors; Pixel; Radar remote sensing; Sensor systems; Space technology; Synthetic aperture radar; Synthetic aperture radar interferometry; Telephony;
Conference_Titel :
Aerospace Conference, 1998 IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-4311-5
DOI :
10.1109/AERO.1998.685842
