Results 81 to 90 of about 30,598 (209)
The dataset presented in this paper consists of hyperspectral images of Masena blueberries that were harvested on November 24, 2023, from an orchard in Pukehina, New Zealand.
Shah Faisal +6 more
doaj +1 more source
The classification of hyperspectral images on heterogeneous environments without prior knowledge about the study area is a challenging task. Finding potential pure spectral signatures or endmembers (EM) of the various surface materials within an image is
Mende, Andre +4 more
core
Spatial analysis for colon biopsy classification from hyperspectral imagery [PDF]
Automatic classification of histology images, the objective of our research, is aimed at supporting the pathologists in their diagnosis. In this paper, we present a comparative study between 3D spectral/spatial analysis (SSA) and 2D spatial analysis (SA ...
Rajpoot, Nasir M. (Nasir Mahmood) +1 more
core
Feature extraction and segmentation of hyperspectral images [PDF]
This work proposes an approach for hyperspectral images segmentation without direct application of common clustering methods on the hyperspectral data.
Soccio, Annapia
core
Hyperspectral Image Resolution Enhancement Based on Spectral Unmixing and Information Fusion
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. This leads to spectral signatures of pixels originating from different object types. Such pixels are called mixed pixels.
Avbelj, Janja +4 more
core
Hyperspectral texture analysis for colon tissue biopsy classification [PDF]
Diagnosis and cure of colon cancer can be improved by performing automated histopathological analysis of colon biopsy samples. Due to significant observational variation between pathologists in several histological features, there is a need for the ...
Rajpoot, Nasir M. (Nasir Mahmood) +3 more
core
Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection
Detecting targets with unknown spectral signatures in hyperspectral imagery has been proven to be a topic of great interest in several applications. Because no knowledge about the targets of interest is assumed, this task is performed by searching the ...
VERACINI, TIZIANA
core
High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures [PDF]
Hyperspectral cathodoluminescence imaging provides spectrally and spatially resolved information on luminescent materials within a single dataset. Pushing the technique toward its ultimate nanoscale spatial limit, while at the same time spectrally ...
Martin, Robert W. +7 more
core +1 more source
Hyperspectral and multispectral image fusion serves as an effective approach to obtain high-resolution hyperspectral images at low cost. Current deep learning-based hyperspectral image fusion methods often focus on fusing images with a fixed number of ...
Shunyao Wang +3 more
doaj +1 more source
Encoded computational hyperspectral cameras, propelled by advances in compressed sensing theory, making both miniaturization and real-time hyperspectral imaging feasible.
Shiqi Feng +4 more
doaj +1 more source

