Combined multi-temporal ERS-1/JERS-1 imagery for land-cover classification

被引：0
|
作者：
Kellndorfer, JM [1 ]
Xie, H [1 ]
Ulaby, FT [1 ]
Dobson, MC [1 ]
机构：
[1] Univ Michigan, Radiat Lab, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源：
IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT | 1998年
关键词：
D O I：
10.1109/IGARSS.1998.692449
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Today all of Earth's land masses are repeatedly mapped with high spatial resolution SAR imagery available from spaceborne platforms (ERS-1/2, JERS-1, RADARSAT). These free-flying sensors are all equipped with single frequency and single polarization instruments (C-vv, L-hh, C-hh). While the capability of "all weather" image acquisition makes these systems very attractive for regional to global scale land-cover classification and monitoring, especially of vegetated, hence cloudy, regions, the lack of multi-frequency/polarization data diminishes the usefulness of either instrument taken alone. This paper describes how vegetation classification results could be improved through various time/sensor combinations using ERS-1 and JERS-1 SAR image data from the Race test site in the Upper Peninsula of Michigan.
引用
收藏
页码：1714 / 1716
页数：3
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