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194  Articles
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The PRISMA hyperspectral imaging satellite of the Italian Space Agency records in the 0.4-2.5 µm wavelength region at a spatial resolution of 30 m. This study used the PRISMA hyperspectral imagery to characterize an extensive hydrothermal alteration syste... see more

HJ-1A satellite is often used to monitor environmental disaster and plays an important role in environmental changes. Because of the affection of various factors, certain band of HJ-1A hyperspectral remote sensing data is severe loss or distortion, which ... see more

Food health is a huge public concern, and if not taken seriously, it can lead to major outbreaks of food-related diseases that can turn out to be a very severe cause of social disruption. In food and agricultural applications, there is a major necessity t... see more

Hyperspectral images due to their higher spectral resolution are increasingly being used for various remote sensing applications including information extraction at subpixel level. Typically whenever an object gets spectrally resolved but not spatially, m... see more

Target detection is of particular interest in hyperspectral image analysis as many unknown and subtle signals (spectral response) unresolved by multispectral sensors can be discovered in hyperspectral images. The detection of signals in the form of small ... see more

The PRISMA hyperspectral imaging satellite of the Italian Space Agency was launched into orbit on March 22, 2019. The PRISMA is a pushbroom sensor that records 250 hyperspectral bands in the 0.4-2.5 µm wavelength region at a spatial resolution of 30 m. Th... see more

Remote sensing technology has many attributes that would be beneficial to monitoring submerged coral reef ecosystems such as the ability to revisit a site repetitively and consistently. One of the limiting factors, however, is the lack of a quantitative m... see more

The objective of the paper is to explore the best phenophase for estimating the nitrogen contents of apple leaves, to establish the best estimation model of the hyperspectral data at different phenophases. It is to improve the apple trees precise fertiliz... see more

Target detection algorithm in hyperspectral imaging detects a certain material in a hyperspectral image using a known spectral signature of the material. Conventional algorithms for target detection assume that there is only one known target spectrum so t... see more

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