The Spectral Reflectance Properties of Soil Structural Crusts in the 1.2- to 2.5-μm Spectral Region

2003 ◽  
Vol 67 (1) ◽  
pp. 289 ◽  
Author(s):  
E. Ben-Dor ◽  
N. Goldlshleger ◽  
Y. Benyamini ◽  
M. Agassi ◽  
D. G. Blumberg
Keyword(s):  
Spectral Region ◽  
Spectral Reflectance ◽  
Properties Of Soil

The Spectral Reflectance Properties of Soil Structural Crusts in the 1.2- to 2.5-μm Spectral Region

2003 ◽  
Vol 67 (1) ◽  
pp. 289-299 ◽  
Author(s):  
E. Ben-Dor ◽  
N. Goldlshleger ◽  
Y. Benyamini ◽  
M. Agassi ◽  
D. G. Blumberg
Keyword(s):  
Spectral Region ◽  
Spectral Reflectance ◽  
Properties Of Soil

scholarly journals SPECTRAL REFLECTANCE PROPERTIES OF SOIL TAXONOMY UNITS DOMINANT IN SAQLAWIYAH PROJECT

2017 ◽  
Vol 48 (4) ◽  
Author(s):  
Al-Juraysi & Al-Obaidy
Keyword(s):  
Spectral Reflectance ◽  
Image Sensor ◽  
Thematic Mapper ◽  
Soil Survey ◽  
Soil Taxonomy ◽  
Space Images ◽  
Euphrates River ◽  
Using Data ◽  
Properties Of Soil

The area under study is located at the lower of resent Mesopotamian plain of Euphrates river, located between  longitude 43 35 to 43 35 East and latitude 33 22 to 33 27 North with area (3445.38 ha.) at 169 path and 37 row of Landsat-5 taken by Thematic Mapper image sensor (TM). The space images taken during the year 1985, were used ERDAS V.8.2 and GIS V.9.2 Software. using data of soil survey report.A study show ability of Spectral reflectance to detecting the  Aridisols and Entisols and can be also detecting sub- great group at Typic Haplogypsids and Typic Haplosalids taxonomy units appeared to be distinguished and isolated. While there were difficult to detecting and identification between Vertic Torrifluvents and Typic Torrifluvents.                                                 

scholarly journals BRDF Effects in Satellite Retrieval of Surface Spectral Reflectance in Solar Spectral Region

2000 ◽  
Author(s):  
A Trishchenko ◽  
Z Li ◽  
W M Park ◽  
J Cihlar
Keyword(s):  
Spectral Region ◽  
Spectral Reflectance ◽  
Satellite Retrieval

Skin Chromophore Estimation from Mobile Selfie Images using Constrained Independent Component Analysis

2020 ◽  
Vol 2020 (14) ◽  
pp. 357-1-357-6
Author(s):  
Luisa F. Polanía ◽  
Raja Bala ◽  
Ankur Purwar ◽  
Paul Matts ◽  
Martin Maltz
Keyword(s):  
Independent Component Analysis ◽  
Spectral Reflectance ◽  
Source Separation ◽  
Principal Component ◽  
Component Analysis ◽  
Previous Method ◽  
Independent Component ◽  
Light Transport ◽  
Camera Model ◽  
Constrained Independent Component Analysis

Human skin is made up of two primary chromophores: melanin, the pigment in the epidermis giving skin its color; and hemoglobin, the pigment in the red blood cells of the vascular network within the dermis. The relative concentrations of these chromophores provide a vital indicator for skin health and appearance. We present a technique to automatically estimate chromophore maps from RGB images of human faces captured with mobile devices such as smartphones. The ultimate goal is to provide a diagnostic aid for individuals to monitor and improve the quality of their facial skin. A previous method approaches the problem as one of blind source separation, and applies Independent Component Analysis (ICA) in camera RGB space to estimate the chromophores. We extend this technique in two important ways. First we observe that models for light transport in skin call for source separation to be performed in log spectral reflectance coordinates rather than in RGB. Thus we transform camera RGB to a spectral reflectance space prior to applying ICA. This process involves the use of a linear camera model and Principal Component Analysis to represent skin spectral reflectance as a lowdimensional manifold. The camera model requires knowledge of the incident illuminant, which we obtain via a novel technique that uses the human lip as a calibration object. Second, we address an inherent limitation with ICA that the ordering of the separated signals is random and ambiguous. We incorporate a domain-specific prior model for human chromophore spectra as a constraint in solving ICA. Results on a dataset of mobile camera images show high quality and unambiguous recovery of chromophores.

A Flying Gray Ball Multi-illuminant Image Dataset for Color Research

2020 ◽  
Vol 64 (5) ◽  
pp. 50411-1-50411-8
Author(s):  
Hoda Aghaei ◽  
Brian Funt
Keyword(s):  
Machine Vision ◽  
Spectral Reflectance ◽  
Color Constancy ◽  
Ground Truth ◽  
Practical Approach ◽  
Post Processing ◽  
Illumination Estimation ◽  
Processing Step ◽  
Image Dataset

Abstract For research in the field of illumination estimation and color constancy, there is a need for ground-truth measurement of the illumination color at many locations within multi-illuminant scenes. A practical approach to obtaining such ground-truth illumination data is presented here. The proposed method involves using a drone to carry a gray ball of known percent surface spectral reflectance throughout a scene while photographing it frequently during the flight using a calibrated camera. The captured images are then post-processed. In the post-processing step, machine vision techniques are used to detect the gray ball within each frame. The camera RGB of light reflected from the gray ball provides a measure of the illumination color at that location. In total, the dataset contains 30 scenes with 100 illumination measurements on average per scene. The dataset is available for download free of charge.

Analysis of the perpendicular structure of vegetation by spectral reflectance in the visible and near Infrared

1997 ◽  
Vol 52 (5) ◽  
pp. 567-570
Author(s):  
Kengo ITO ◽  
Kyoichi OTSUKI ◽  
Makio KAMICHIKA
Keyword(s):  
Spectral Reflectance ◽  
Near Infrared

First Nano-Infrared Spectroscopy and Imaging Measurements of Single Phospholipid Bilayers

2018 ◽  
Author(s):  
Adrian Cernescu ◽  
Michał Szuwarzyński ◽  
Urszula Kwolek ◽  
Karol Wolski ◽  
Paweł Wydro ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Ir Spectroscopy ◽  
Absorption Band ◽  
Spectral Region ◽  
Near Field ◽  
Phospholipid Bilayers ◽  
Model Systems ◽  
Absorption Bands ◽  
Protein Complement ◽  
20 Nm

<div><div>Scattering-mode Scanning Near-Field Optical Microscopy (sSNOM) allows one to obtain absorption spectra in the mid-IR region for samples as small as 20 nm in size. This configuration has made it possible to measure FTIR spectra of the protein complement of membranes. (Amenabar 2013) We now show that mid-IR sSNOM has the sensitivity required to measure spectra of phospholipids in individual bilayers in the spectral range 800 cm<sup>-1</sup>–1400 cm<sup>-1</sup>. We have observed the main absorption bands of the dipalmitoylphosphatidylcholine headgroups in this spectral region above noise level. We have also mapped the phosphate absorption band at 1070 cm<sup>-1</sup> simultaneously with the AFM topography. We have shown that we could achieve sufficient contrast to discriminate between single and multiple phospholipid bilayers and other structures, such as liposomes. This work opens the way to further research that uses nano-IR spectroscopy to describe the biochemistry of cell membranes and model systems.</div></div><div></div>

Study of Physiological Properties of Soil Order and in Bastar Zone Chhattisgarh State

2019 ◽  
Vol 10 (7) ◽  
pp. 1460-1465
Author(s):  
Prabhakar Mishra ◽  
Manish Upadhayay ◽  
G. P. Khare ◽  
D.S. Thakur
Keyword(s):  
Physiological Properties ◽  
Properties Of Soil
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