An Overview on Remote Sensing Image Classification Methods with a Focus on Support Vector Machine
Author:
Affiliation:
1. Lanzhou University,School of Information Science and Engineering,Lanzhou,P. R. China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9706407/9706410/09706669.pdf?arnumber=9706669
Reference44 articles.
1. Combining Support Vector Machines with Distance-based Relative Competence Weighting for Remote Sensing Image Classification: A Case Study
2. A probabilistic fusion of a support vector machine and a joint sparsity model for hyperspectral imagery classification
3. Remote sensing image classification based on the optimal support vector machine and modified binary coded ant colony optimization algorithm
4. Land cover mapping classification based on multi Restricted Boltzmann machines and Support Vector Machines
5. Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields
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3. A New Approach to Compute Vector Based Morphological Features for Classification of Hyperspectral Image;2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS);2023-12-10
4. Detecting Adversarial Examples for Hyperspectral Image Classification Via Mutation Testing;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31
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