scholarly journals HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING

2012 ◽  
Vol I-7 ◽  
pp. 147-152 ◽  
Author(s):  
F. Lang ◽  
J. Yang ◽  
L. Zhao ◽  
D. Li
Keyword(s):  
Hierarchical Classification ◽  
Sar Image ◽  
Region Merging ◽  
Polarimetric Sar ◽  
Statistical Region Merging

Polarimetric SAR Image Segmentation Using Statistical Region Merging

2014 ◽  
Vol 11 (2) ◽  
pp. 509-513 ◽  
Author(s):  
Fengkai Lang ◽  
Jie Yang ◽  
Deren Li ◽  
Lingli Zhao ◽  
Lei Shi
Keyword(s):  
Image Segmentation ◽  
Sar Image ◽  
Region Merging ◽  
Polarimetric Sar ◽  
Sar Image Segmentation ◽  
Statistical Region Merging

scholarly journals MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS

2016 ◽  
Vol XLI-B7 ◽  
pp. 283-287
Author(s):  
F. Lang ◽  
J. Yang ◽  
L. Wu ◽  
D. Li
Keyword(s):  
Object Oriented ◽  
Test Site ◽  
Region Merging ◽  
Polarimetric Sar ◽  
Multi Scale ◽  
Single Scale ◽  
Binary Partition ◽  
Segmentation Algorithms ◽  
Merging Process ◽  
Statistical Region Merging

Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based polarimetric SAR (PolSAR) image multi-scale segmentation algorithms are usually inefficient and impractical. In this paper, we proposed a superpixel-based binary partition tree (BPT) segmentation algorithm by combining the generalized statistical region merging (GSRM) algorithm and the BPT algorithm. First, superpixels are obtained by setting a maximum region number threshold to GSRM. Then, the region merging process of the BPT algorithm is implemented based on superpixels but not pixels. The proposed algorithm inherits the advantages of both GSRM and BPT. The operation efficiency is obviously improved compared to the pixel-based BPT segmentation. Experiments using the Lband ESAR image over the Oberpfaffenhofen test site proved the effectiveness of the proposed method.

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