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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAnomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song +5 more
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Editorial for Special Issue “Hyperspectral Imaging and Applications”
Remote Sensing, 2019 Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang +3 more
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Research on dimension reduction method for hyperspectral remote sensing image based on global mixture coordination factor analysis [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Over the past thirty years, the hyperspectral remote sensing technology is attracted more and more attentions by the researchers. The dimension reduction technology for hyperspectral remote sensing image data is one of the hotspots in current research ...
S. Wang, C. Wang
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Advanced Intelligent Systems, EarlyView.A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
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Remote Sensing, 2021 Unmanned aerial vehicle (UAV) hyperspectral remote sensing technologies have unique advantages in high-precision quantitative analysis of non-contact water surface source concentration.
Hong Liu +11 more
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Assessing Ecosystem Isoprene Emissions by Hyperspectral Remote Sensing [PDF]
Remote Sensing, 2018 This study examined the relationship between foliar isoprene emissions, light use efficiency and photochemical reflectance index (PRI) throughout the canopy profile and explored the contribution of xanthophyll cycle pigments versus other carotenoid pigments to the isoprene/PRI relationship.
Manuela Balzarolo +4 more
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Hyperspectral remote sensing of vegetation bioparameters
, 2011 This chapter focuses on a review of hyperspectral remote sensing techniques for extraction and assessment of plant biophysical and biochemical parameters.
Pu, Ruiliang, Gong, Peng
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Advanced Intelligent Systems, EarlyView.This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVisible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao +5 more
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Hyperspectral remote sensing for light pollution monitoring
Annals of Geophysics, 2006 industries. In this paper we introduce the results from a remote sensing campaign performed in September 2001 at night time. For the first time nocturnal light pollution was measured at high spatial and spectral resolution using two airborne hyperspectral sensors, namely the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) and the ...
A. Barducci +6 more
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