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Titel:

Discriminative features based on two layers sparse learning for glacier area classification using sar intensity imagery

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Fang, Li; Wei, Xian; Yao, Wei; Xu, Yusheng; Stilla, Uwe
Abstract:
Accurate and instant information about changes of snow and glaciers covered areas plays a vital role in hydrological and climatological research and implications. Among all the observation methods, spaceborne remote sensing has a great advantage in monitoring the glaciers located in cold high-altitude regions and inaccessible areas on a large scale. Unlike optical sensors, the synthetic aperture radar (SAR) sensor can obtain images with low limitations in terms of weather phenomena and illuminat...     »
Stichworte:
Snow, Synthetic aperture radar, Ice, Integrated optics, Optical imaging, Remote sensing, Monitoring
Zeitschriftentitel:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Jahr:
2017
Band / Volume:
10
Heft / Issue:
7
Seitenangaben Beitrag:
3200 - 3212
Volltext / DOI:
doi:10.1109/JSTARS.2017.2671021
WWW:
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7874170
Verlag / Institution:
IEEE
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