Fusion of texture and wavelet features of PALSAR image using LDA and PCA for land cover classification
Author:
Affiliation:
1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
2. Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications
Link
https://www.tandfonline.com/doi/pdf/10.1080/19479832.2017.1355337
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1. Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms
2. ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform
3. Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features
4. Utilizing image texture to detect land-cover change in Mediterranean coastal wetlands
5. An Analysis of Texture Measures in PCA-Based Unsupervised Classification of SAR Images
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