Results 51 to 60 of about 3,522,681 (315)
Classification of Hyperspectral Reflectance Images With Physical and Statistical Criteria [PDF]
Remote Sensing, 2020 A classification method of hyperspectral reflectance images named CHRIPS (Classification of Hyperspectral Reflectance Images with Physical and Statistical criteria) is presented. This method aims at classifying each pixel from a given set of thirteen classes: unidentified dark surface, water, plastic matter, carbonate, clay, vegetation (dark green ...
Alexandre Alakian, Véronique Achard
openaire +3 more sources
Hyperspectral-reflectance dataset of dry, wet and submerged marine litter
, 2021 . This paper describes a dataset consisting of 47 hyperspectral-reflectance measurements of plastic litter samples. The plastic litter samples include virgin and real samples from the Port of Antwerp.
E. Knaeps +6 more
semanticscholar +1 more source
Remote Sensing, 2021 Armillaria genus represents one of the most common causes of chronic root rot disease in woody plants. Prompt recognition of diseased plants is crucial to control the pathogen.
F. Calamita +4 more
semanticscholar +1 more source
A COMPARISON OF LIDAR REFLECTANCE AND RADIOMETRICALLY CALIBRATED HYPERSPECTRAL IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Abstract. In order to retrieve results comparable under different flight parameters and among different flight campaigns, passive remote sensing data such as hyperspectral imagery need to undergo a radiometric calibration. While this calibration, aiming at the derivation of physically meaningful surface attributes such as a reflectance value, is quite ...
A. Roncat +3 more
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Research on Hyperspectral Surface Reflectance Dataset of Typical Ore Concentration Area in Hami Remote Sensing Test Field [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesSurface reflectance data is the basic data source for the hyperspectral parametric remote sensing products and remote sensing quantitative application, which is widely used in various application fields such as natural resources and ecological ...
S. Liang +5 more
doaj +1 more source
Remote Sensing, 2021 Monitoring and management of plant water status over the critical period between flowering and veraison, plays a significant role in producing grapes of premium quality.
Hsiang-En Wei +4 more
semanticscholar +1 more source
Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]
, 2013 A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James +6 more
core +1 more source
Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]
, 2013 With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui +3 more
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Remote Sensing, 2021 Understanding the spectral characteristics of crops in response to stress caused by weeds is a basic step in improving the precision of agricultural technologies that manage weeds in the field.
I. Ronay +4 more
semanticscholar +1 more source
GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Light-weight hyperspectral frame cameras represent novel developments in remote sensing technology. With frame camera technology, when capturing images with stereoscopic overlaps, it is possible to derive 3D hyperspectral reflectance information and 3D ...
E. Honkavaara +8 more
doaj +1 more source