3-D Sharpened Cosine Similarity Operation for Hyperspectral Image Classification
Due to the advantage of high spectral resolution, hyperspectral imaging techniques have been extensively used in a variety of fields. Hyperspectral images (HSIs) classification is one of the fundamental tasks and attracts significant research interest ...
Xin Qiao, Swalpa Kumar Roy, Weimin Huang
doaj +1 more source
Hyperspectral–multispectral image fusion reconstructs high-spatial-resolution hyperspectral images (HR-HSIs) by combining low-resolution hyperspectral images (LR-HSIs) with high-resolution multispectral images (HR-MSIs). Many methods only support integer
Peng Tang +4 more
doaj +1 more source
We present a dataset of hyperspectral images of handwriting samples collected from 54 individuals. The purpose of the presented dataset is to further explore the use of hyperspectral imaging in document image analysis and to benchmark the performance of ...
Haris Ahmad Khan
core +1 more source
Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
core
Multi-spatial resolution hyperspectral image change detection network integrating feature difference structure. [PDF]
Xiao Y +6 more
europepmc +1 more source
Degradation-Aware Dynamic Kernel Generation Network for Hyperspectral Super-Resolution. [PDF]
Liu H, Liang H, Wang Q.
europepmc +1 more source
Evaluation of the Usefulness of Machine Learning and Artificial Intelligence on Hyperspectral Images in the Diagnosis of Myelodysplastic Syndrome. [PDF]
Ueda Y +7 more
europepmc +1 more source
Edge-Distilled and Local-Global Feature Selection Network for Hyperspectral Image Super-Resolution. [PDF]
Li X, Fan M, Zheng X, Shang J.
europepmc +1 more source
Dementia Detection via Retinal Hyperspectral Imaging and Deep Learning: Clinical Dataset Analysis and Comparative Evaluation of Multiple Architectures. [PDF]
Lin WS, Chen CL, Liang SW, Wang HC.
europepmc +1 more source
Revolutionizing hyper spectral image denoising: a squeezenet paradigm. [PDF]
Nachimuthu N +3 more
europepmc +1 more source

