CRIM-FCHO: SAR Image Two-Stage Segmentation With Multifeature Ensemble

This paper investigates the synthetic aperture radar (SAR) image segmentation in terms of feature analysis and fusion and develops a new algorithm based on multifeature ensemble accordingly. This paper is characterized by two aspects. First, multiple heterogeneous features are extracted to accuratel...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2016-04, Vol.54 (4), p.2400-2423
Hauptverfasser:	Yu, Hang, Jiao, Licheng, Liu, Fang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Brightness Clustering algorithms Feature extraction Fuzzy clustering Image segmentation Merging multifeature ensemble region merging similarity measures Synthetic aperture radar synthetic aperture radar (SAR) image
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