Explorable 3D Hyperspectral Models from Multi-Angle Gimballed LWIR Pushbroom Imagery
Hyperspectral imaging in the long-wave infrared (LWIR) range enables identification of chemical compositions and material properties, but reconstructing 3D models from gimballed pushbroom sensors remains challenging because their unique acquisition ...
Nikolay Golosov +2 more
doaj +1 more source
With the development of artificial intelligence, the ability to capture the background characteristics of hyperspectral imagery (HSI) has improved, showing promising performance in hyperspectral anomaly detection (HAD) tasks.
Rui Zhao +3 more
doaj +1 more source
A Review of Virtual Dimensionality for Hyperspectral Imagery
Virtual dimensionality (VD) is originally defined as the number of spectrally distinct signatures in hyperspectral data. Unfortunately, there is no provided specific definition of what “spectrally distinct signatures” are. As a result, many techniques developed to estimate VD have produced various values for VD with different interpretations.
openaire +2 more sources
Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery. [PDF]
Lian X +6 more
europepmc +1 more source
Postprocessing for Fine Classification of Crops in UAV Hyperspectral Imagery
Unmanned aerial vehicle (UAV) hyperspectral imagery has become a vital tool for crop monitoring, delivering rich spatial information and detailed spectral properties of crops.
Qikai Lu +4 more
doaj +1 more source
Quantification of Photosynthetic Pigments in <i>Neopyropia yezoensis</i> Using Hyperspectral Imagery. [PDF]
Che S +5 more
europepmc +1 more source
Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas. [PDF]
Wocher M, Berger K, Verrelst J, Hank T.
europepmc +1 more source
Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery. [PDF]
Zhang X, Cheng X, Xue T, Wang Y.
europepmc +1 more source
Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance.
This study proposed the use of satellite hyperspectral imagery to support tick-borne infectious diseases surveillance based on monitoring the variation in amplifier hosts food sources.
Gina Polo +2 more
doaj +1 more source
Airborne Hyperspectral Imagery for Band Selection Using Moth-Flame Metaheuristic Optimization. [PDF]
Anand R +4 more
europepmc +1 more source

