AIR-PolSAR-Seg: A Large-Scale Data Set for Terrain Segmentation in Complex-Scene PolSAR Images

Polarimetric synthetic aperture radar (PolSAR) terrain segmentation is a fundamental research topic in PolSAR image interpretation. Recently, many studies have been investigated to handle this task. However, the existing data for PolSAR terrain segmentation have relatively limited scale and their sc...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 15; S. 3830 - 3841
Hauptverfasser:	Wang, Zhirui, Zeng, Xuan, Yan, Zhiyuan, Kang, Jian, Sun, Xian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Air Algorithms Annotations Benchmark data set Complexity theory Datasets Deep learning Image analysis Image color analysis Image processing Image segmentation Machine learning Pixels polarimetric synthetic aperture radar (PolSAR) Radar imaging SAR (radar) Spatial resolution Synthetic aperture radar Task analysis Task complexity Terrain terrain segmentation Training Water bodies
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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