Hyperspectral image classification via kernel basic thresholding classifier
We propose a nonlinear kernel version of recently introduced basic thresholding classifier
(BTC) for hyperspectral image (HSI) classification. BTC is a sparsity-based linear classifier …
(BTC) for hyperspectral image (HSI) classification. BTC is a sparsity-based linear classifier …
Hyper-spectral image segmentation using an improved PSO aided with multilevel fuzzy entropy
R Chakraborty, R Sushil, ML Garg - Multimedia Tools and Applications, 2019 - Springer
This paper proposes a novel histogram-based multi-level segmentation scheme of hyper-
spectral images. In the proposed scheme an Improved Particle Swarm Optimization (IPSO) …
spectral images. In the proposed scheme an Improved Particle Swarm Optimization (IPSO) …
An automatic dictionary construction framework for sparsity-based hyperspectral target detectors
The mechanisms behind the sparsity-based techniques for hyperspectral target detection
and classifications applications are quite similar except the construction methods of the …
and classifications applications are quite similar except the construction methods of the …
Target detection in hyperspectral images using basic thresholding classifier
In this letter, we propose target detector version of recently introduced basic thresholding
classifier for hyperspectral images. The proposed technique is a sparsity-based low …
classifier for hyperspectral images. The proposed technique is a sparsity-based low …