Results 241 to 250 of about 5,679 (259)

An Efficient Method for Supervised Hyperspectral Band Selection

IEEE Geoscience and Remote Sensing Letters, 2011
Band selection is often applied to reduce the dimensionality of hyperspectral imagery. When the desired object information is known, it can be achieved by finding the bands that contain the most object information. It is expected that these bands can provide an overall satisfactory detection and classification performance.
He Yang, Qian Du 0001, Hongjun Su, Yehua Sheng   +3 more
openaire   +1 more source

Band Selection for Hyperspectral Imagery with PCA-MIG

2012
Although hyperspectral imagery provides abundant information about bands, their high dimensionality also substantially increases the computational burden. An interesting task in hyperspectral data processing is to reduce the redundancy of the spectral and spatial information without loss of any valuable details.
Kitti Koonsanit, Chuleerat Jaruskulchai, Apisit Eiumnoh   +2 more
openaire   +1 more source

Reducing the Computational Load of Hyperspectral Band Selection Using the One-Bit Transform of Hyperspectral Bands

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
This paper concentrates on reducing the computational complexity of hyperspectral image band selection algorithms via one-bit transform which can be obtained using simple filtering and comparison operations. Firstly, one-bit transform of each band is obtained and noisy and less-discriminative bands, which are decided according to the total number of ...
Demir, Begum, Ertürk, Sarp
openaire   +1 more source

Compact hyperspectral imager with selectable bands

SPIE Proceedings, 2006
This paper gives an overview of the configuration and design of a Compact Hyper spectral imager with feature of having selectable bands in the visible and near infrared spectral region of 0.4 to 0.9?m. The instrument is configured for spatial resolution of 500m and swath of 128Km from 700Km polar orbit with a 12-bit quantization.
A. Roy Chowdhury, K. R. Murali
openaire   +1 more source

Hyperspectral band selection via region-aware latent features fusion based clustering

Information Fusion, 2022
Xinwang Liu, Chang Tang, Zhenglai Li
exaly  

A multi-strategy integrated multi-objective artificial bee colony for unsupervised band selection of hyperspectral images

Swarm and Evolutionary Computation, 2021
Sun Xiao-Yan
exaly  

Hyperspectral Band Selection With Iterative Graph Autoencoder

IEEE Transactions on Geoscience and Remote Sensing, 2023
Yuan Zhou 0006, Qingren Yao, Shuwei Huo, Xiaofeng Li 0001   +3 more
openaire   +1 more source

Graph regularized spatial–spectral subspace clustering for hyperspectral band selection

Neural Networks, 2022
Xinwang Liu, Xiao Zheng, Chang Tang
exaly  

Hyperspectral imagery visualization using band selection

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2012
Hongjun Su, Qian Du 0001, Peijun Du
openaire   +1 more source

Unsupervised Hyperspectral Band Selection by Dominant Set Extraction

IEEE Transactions on Geoscience and Remote Sensing, 2016
Feifei Xu, Zhongqin Bi, Jingsheng Lei
exaly