Results 61 to 70 of about 4,872 (167)

Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery. [PDF]

Sensors (Basel), 2023
Lian X, Zhao E, Zheng W, Peng X, Li A, Zhen Z, Wen Y.   +6 more
europepmc   +1 more source

Postprocessing for Fine Classification of Crops in UAV Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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, Yanyan Tian, Pei Sun, Shaohua Liu, Lifei Wei   +4 more
doaj   +1 more source

Quantification of Photosynthetic Pigments in <i>Neopyropia yezoensis</i> Using Hyperspectral Imagery. [PDF]

Plant Phenomics, 2023
Che S, Du G, Zhong X, Mo Z, Wang Z, Mao Y.   +5 more
europepmc   +1 more source

Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas. [PDF]

ISPRS J Photogramm Remote Sens, 2022
Wocher M, Berger K, Verrelst J, Hank T.
europepmc   +1 more source

Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance.

PLoS ONE, 2015
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, Marcelo Bahia Labruna, Fernando Ferreira   +2 more
doaj   +1 more source

Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery. [PDF]

Sensors (Basel), 2022
Zhang X, Cheng X, Xue T, Wang Y.
europepmc   +1 more source

Airborne Hyperspectral Imagery for Band Selection Using Moth-Flame Metaheuristic Optimization. [PDF]

J Imaging, 2022
Anand R, Samiaappan S, Veni S, Worch E, Zhou M.   +4 more
europepmc   +1 more source

Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral imagery provides rich spectral information, but commonly suffers from low spatial resolution. This problem can be addressed with hyperspectral pansharpening, which benefits from a high-resolution (HR) panchromatic (PAN) image to enhance the
Maciej Ziaja, Pawel Kowaleczko, Tomasz Tarasiewicz, Daniel Kostrzewa, Michal Kawulok   +4 more
doaj   +1 more source

Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery. [PDF]

Front Plant Sci, 2022
Matese A, Di Gennaro SF, Orlandi G, Gatti M, Poni S.   +4 more
europepmc   +1 more source

Identification and Classification of Small Sample Desert Grassland Vegetation Communities Based on Dynamic Graph Convolution and UAV Hyperspectral Imagery. [PDF]

Sensors (Basel), 2023
Zhang T, Bi Y, Zhu X, Gao X.
europepmc   +1 more source