A New Curvelet-Based Texture Classification Approach for Land Cover Recognition of SAR Satellite Images

Malaysian Journal of Computer Science

Gholamreza Akbarizadeh¹  Monireh Kooshesh¹  Zeinab Tirandaz¹ 

关键词: Textureclassification;    land cover recognition;    synthetic aperture radar (SAR) image;    and Curvelet transform.;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

Texture recognition of synthetic aperture radar (SAR) images, an important technique in the remote sensing area,has been deeply interested in the past decade. It is a key method to analyze this special case of images in practicalapplications. Watershed transform seems to be a proper method utilized to segment images. However, speckle noisein SAR images and the low resolution of edges make the segmentation and texture recognition difficult in awatershed transformation. Because of excellent results from curvelet transform in feature extraction and filtering aswell as watershed advantages in image segmentation, an efficient method to recognize and segment various texturesin SAR images is proposed. In this paper, a new algorithm for texture recognition of SAR images is presented. Fourmain steps in texture recognition of SAR images have been developed in the proposed algorithm. First, the curvelettransform is applied to the SAR image so that the existent image noise is reduced as much as possible. In the secondstep, the features of various textures in SAR image are extracted based on sub-bands from curvelet transform. In thethird step, a label matrix based on the extracted features is formed by the watershed transform. In this matrix, alabel is given to a single texture in SAR image which represents watershed regions. Finally, by applying watershedtransform tothe matrix, the textures of SAR image are classified and recognized. The proposed scheme has beentested on both agricultural and urban SAR images. Experimental results demonstrate the efficiency of the proposedapproach in texture recognition of SAR imagery.

【 授权许可】

Unknown