Unsupervised classification of PolSAR image based on tensor product graph diffusion

Meilin Li; Huanxin Zou; Qian Ma; Jiachi Sun; Xu Cao; Xianxiang Qin

doi:10.1117/12.2540397

31 July 2019 Unsupervised classification of PolSAR image based on tensor product graph diffusion

Meilin Li, Huanxin Zou, Qian Ma, Jiachi Sun, Xu Cao, Xianxiang Qin

Proceedings Volume 11198, Fourth International Workshop on Pattern Recognition; 111980C (2019) https://doi.org/10.1117/12.2540397
Event: Fourth International Workshop on Pattern Recognition, 2019, Nanjing, China

Abstract

This paper presents a new unsupervised classification framework based on tensor product graph (TPG) diffusion, which is generally utilized for optical image segmentation or image retrieval and for the first time used for PolSAR image classification in our work. First, the PolSAR image is divided into many superpixels by using a fast superpixel segmentation method. Second, seven features are extracted from the PolSAR image to form a feature vector based on segmented superpixels and construct a similarity matrix by using the Gaussian kernel. Third, TPG diffusion is performed on this similarity matrix to obtain a more discriminative similarity matrix by mining the higher order information between data points. Finally, spectral clustering based on diffused similarity matrix is adopted to automatically achieve the classification results. The experimental results conducted on both a simulated PolSAR image and a real-world PolSAR image demonstrate that our algorithm can effectively combine higher order neighborhood information and achieve higher classification accuracy.

Citation Download Citation

Meilin Li, Huanxin Zou, Qian Ma, Jiachi Sun, Xu Cao, and Xianxiang Qin "Unsupervised classification of PolSAR image based on tensor product graph diffusion", Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980C (31 July 2019); https://doi.org/10.1117/12.2540397

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KEYWORDS

Diffusion

Image classification

Image segmentation

Buildings

Feature extraction

Polarimetry

Speckle

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