Hyperspectral images band selection algorithm through p-value statistic modeling independence

2018 ◽  
Vol 47 (9) ◽  
pp. 926005
Author(s):  
张爱武 Zhang Aiwu ◽  
康孝岩 Kang Xiaoyan
Keyword(s):  
Hyperspectral Images ◽  
Band Selection ◽  
P Value ◽  
Selection Algorithm ◽  
Statistic Modeling

A dynamic local cluster ratio-based band selection algorithm for hyperspectral images

2018 ◽  
Vol 23 (17) ◽  
pp. 8281-8289 ◽  
Author(s):  
Ronghua Shang ◽  
Yuyang Lan ◽  
Licheng Jiao ◽  
Rustam Stolkin
Keyword(s):  
Hyperspectral Images ◽  
Band Selection ◽  
Selection Algorithm ◽  
Local Cluster

scholarly journals Supervised band selection in hyperspectral images using single-layer neural networks

2018 ◽  
Vol 40 (10) ◽  
pp. 3900-3926 ◽  
Author(s):  
Mateus Habermann ◽  
Vincent Fremont ◽  
Elcio Hideiti Shiguemori
Keyword(s):  
Neural Networks ◽  
Single Layer ◽  
Hyperspectral Images ◽  
Band Selection

scholarly journals Band selection for hyperspectral images using probabilistic memetic algorithm

2014 ◽  
Vol 20 (12) ◽  
pp. 4685-4693 ◽  
Author(s):  
Liang Feng ◽  
Ah-Hwee Tan ◽  
Meng-Hiot Lim ◽  
Si Wei Jiang
Keyword(s):  
Memetic Algorithm ◽  
Hyperspectral Images ◽  
Band Selection ◽  
Selection For

Evaluation Method for Band Selection Algorithms of Hyperspectral Image

2013 ◽  
Vol 684 ◽  
pp. 495-498
Author(s):  
Bai He Wang ◽  
Shi Qi Huang ◽  
Yi Hong Li
Keyword(s):  
Data Fusion ◽  
Dimension Reduction ◽  
Evaluation Method ◽  
Hyperspectral Image ◽  
Band Selection ◽  
Selection Algorithm ◽  
Amount Of Information ◽  
Algorithm Evaluation ◽  
Common Band ◽  
Selection Algorithms

Band selection algorithm is most important in data dimension reduction of hyperspectral image. There are many algorithms of band selection, but there are only few methods to do algorithm evaluation. A method is put forward in this paper to evaluate the band selection algorithm of hyperspectral image. The amount of information, brightness, image contrast and definition are defined as 4 indexes to measure deferent data fusion based on various band selection results. Based on the measurement, the evaluation of band selection algorithm is realized. In the paper, the evaluation method is used in the compare of 4 common band selection algorithms, the result of measurement is analyzed and the feasibility is verified.

Sign in / Sign up

Export Citation Format

Share Document