Bilateral texture filtering for spectral-spatial hyperspectral image classification

Bilateral texture filtering for spectral-spatial hyperspectral image classification

Here, a novel structure-preserving filtering based method is proposed for feature extraction of hyperspectral images (HIs). In the first step, the authors partition the HI into several subsets of neighbouring bands and then fuse the bands in each subset by averaging method. Second, the resulting fea...

Full description

Bibliographic Details
Main Authors: Ying Zhang, Jing He
Format: Article
Language:English
Published: Wiley 2019-12-01
Series:The Journal of Engineering
Subjects:
image texture
feature extraction
image classification
hyperspectral imaging
support vector machines
geophysical image processing
bilateral texture
spectral-spatial hyperspectral image classification
novel structure-preserving filtering based method
hyperspectral images
authors partition
subsets
neighbouring bands
resulting features
btf
fused bands
structure-preserving filtering technology
removing texture
main structure information
source image
filtered image
classification result
popular hyperspectral data sets
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9211

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9211

Similar Items