High-resolution satellite image segmentation using Hölder exponents

Journal of Earth system science

Sugata Hazra2²  Debasish Chakraborty1¹  Gautam Kumar Sen2² 

[1] Regional Remote Sensing Service Centre, Indian Space Research Organization, IIT Campus, Kharagpur 721 302, India.$$;School of Oceanographic Studies, Jadavpur University, Kolkata 700 032, India.$$

关键词: High resolution image;    texture analysis;    segmentation;    IKONOS;    Hölder exponent;    cluster.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

Texture in high-resolution satellite images requires substantial amendment in the conventional segmentation algorithms. A measure is proposed to compute the Hölder exponent (HE) to assess the roughness or smoothness around each pixel of the image. The localized singularity information is incorporated in computing the HE. An optimum window size is evaluated so that HE reacts to localized singularity. A two-step iterative procedure for clustering the transformed HE image is adapted to identify the range of HE, densely occupied in the kernel and to partition Hölder exponents into a cluster that matches with the range. Hölder exponent values (noise or not associated with the other cluster) are clubbed to a nearest possible cluster using the local maximum likelihood analysis.

【 授权许可】

Unknown