Texture-Based Remote-Sensing Image Segmentation

Typically, high-resolution remote sensing (HRRS) images contain a high level noise as well as possess different texture scales. As a result, existing image segmentation approaches are not suitable to HRRS imagery. In this paper, we have presented an unsupervised texture-based segmentation algorithm suitable for HRRS images, by extending the local binary pattern texture features and the lossless wavelet transform. Our experimental results using USGS 1ft orthoimagery show a significant improvement over the previously proposed LBP approach.

• Type: Conference
• Year: 2005
• Where: ICMCS
• Authors: Dihua Guo, Vijayalakshmi Atluri, Nabil R. Adam
• Keywords: ICMCS 2005, Image Segmentation Approaches, Unsupervised Texture-based Segmentation, USGS 1ft Orthoimagery