A Novel Ant Colony Optimization Based Training Subset Selection Algorithm for Hyperspectral Image Classification

2018 ◽  
Author(s):  
Shakti Sharma ◽  
Krishna Mohan Buddhiraju
Keyword(s):  
Image Classification ◽  
Ant Colony Optimization ◽  
Hyperspectral Image ◽  
Subset Selection ◽  
Ant Colony ◽  
Selection Algorithm ◽  
Hyperspectral Image Classification ◽  
Training Subset

Feature Selection Based on Ant Colony Optimization for Image Classification

2013 ◽  
Vol 319 ◽  
pp. 337-342
Author(s):  
Li Tu ◽  
Li Zhi Yang
Keyword(s):  
Feature Selection ◽  
Image Classification ◽  
Ant Colony Optimization ◽  
Classification Accuracy ◽  
Image Data ◽  
Ant Colony ◽  
Data Sets ◽  
Classification Rules ◽  
Selection Algorithm ◽  
Artificial Ants

In this paper, a feature selection algorithm based on ant colony optimization (ACO) is presented to construct classification rules for image classification. Most existing ACO-based algorithms use the graph with O(n2) edges. In contrast, the artificial ants in the proposed algorithm FSC-ACO traverse on a feature graph with only O(n) edges. During the process of feature selection, ants construct the classification rules for each class according to the improved pheromone and heuristic functions. FSC-ACO improves the qualities of rules depend on the classification accuracy and the length of rules. The experimental results on both standard and real image data sets show that the proposed algorithm can outperform the other related methods with fewer features in terms of speed, recall and classification accuracy.

Band selection algorithm based on information entropy for hyperspectral image classification

2017 ◽  
Vol 11 (2) ◽  
pp. 026018 ◽  
Author(s):  
Li Xie ◽  
Guangyao Li ◽  
Lei Peng ◽  
Qiaochuan Chen ◽  
Yunlan Tan ◽  
...  
Keyword(s):  
Image Classification ◽  
Information Entropy ◽  
Hyperspectral Image ◽  
Band Selection ◽  
Selection Algorithm ◽  
Hyperspectral Image Classification

scholarly journals Band Subset Selection for Hyperspectral Image Classification

2018 ◽  
Vol 10 (1) ◽  
pp. 113 ◽  
Author(s):  
Chunyan Yu ◽  
Meiping Song ◽  
Chein-I Chang
Keyword(s):  
Image Classification ◽  
Hyperspectral Image ◽  
Subset Selection ◽  
Hyperspectral Image Classification ◽  
Selection For
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