Results 21 to 30 of about 24,881,858 (314)

Hyperspectral IASI L1C Data Compression [PDF]

Sensors, 2017
The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding. The instrument provides infrared soundings of unprecedented accuracy and spectral resolution to derive humidity and atmospheric temperature profiles, as well as some
Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Joan Bartrina-Rapesta   +2 more
openaire   +4 more sources

Hyperspectral Data Augmentation

CoRR, 2019
Submitted to IEEE Geoscience and Remote Sensing ...
Jakub Nalepa, Michal Myller, Michal Kawulok   +2 more
openaire   +2 more sources

Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

Plant Methods, 2020
To accurately estimate winter wheat leaf area index (LAI) using unmanned aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization management, and development of precision agriculture.
Juanjuan Zhang, T. Cheng, Wenting Guo, Xin Xu, H. Qiao, Yimin Xie, Xinming Ma   +6 more
semanticscholar   +1 more source

Informational Clustering of Hyperspectral Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
Hyperspectral remote sensing is recognized as a powerful tool for mineralogical mapping of exposed surfaces on Earth and planets, as well. It allows for more rigorous discrimination among materials than multispectral imaging. Nevertheless, the huge data volume that comes with single observations results in severe limitations to successful data ...
Loredana Pompilio, Monica Pepe, Giuseppe Pedrazzi, Lucia Marinangeli   +3 more
openaire   +3 more sources

Spectral Feature Selection from the Hyperspectral Dataset to Identify Pistachio Leaves Infected by Psylla [PDF]

Journal of Agricultural Machinery, 2022
IntroductionPistachio production has been adversely affected by Psylla, which is a devastating insect. The primary goal of this study was to select sensitive spectral bands to distinguish pistachio leaves infected by Psylla from healthy leaves. Diagnosis
A Moghimi, A Sazgarnia, M. H Aghkhani
doaj   +1 more source

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2020
In this article, we propose an efficient and effective framework to fuse hyperspectral and light detection and ranging (LiDAR) data using two coupled convolutional neural networks (CNNs).
Renlong Hang, Zhu Li, Pedram Ghamisi, D. Hong, Guiyu Xia, Qingshan Liu   +5 more
semanticscholar   +1 more source

Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data

Remote Sensing, 2020
Methane (CH4) is one of important greenhouse gases that affects the global radiative balance after carbon dioxide (CO2). Previous studies have demonstrated the detection of known sources of CH4 emission using the hyperspectral technology based on in situ
Chunlei Xiao, Bihong Fu, Hanqing Shui, Zhaocheng Guo, Jurui Zhu   +4 more
doaj   +1 more source

Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging

Diagnostics, 2023
Problem: Similarity measures are widely used as an approved method for spectral discrimination or identification with their applications in different areas of scientific research.
Priya Pathak, Claire Chalopin, Laura Zick, Hannes Köhler, Annekatrin Pfahl, Nada Rayes, Ines Gockel, Thomas Neumuth, Andreas Melzer, Boris Jansen-Winkeln, Marianne Maktabi   +10 more
doaj   +1 more source

Hyperspectral Data Analysis in R: The hsdar Package [PDF]

Journal of Statistical Software, 2018
Hyperspectral remote sensing is a promising tool for a variety of applications including ecology, geology, analytical chemistry and medical research.
L. Lehnert, H. Meyer, W. Obermeier, B. Silva, B. Regeling, J. Bendix   +5 more
semanticscholar   +1 more source

Auditory Display of Fluorescence Image Data in an In Vivo Tumor Model

Diagnostics, 2022
Objectives: This research aims to apply an auditory display for tumor imaging using fluorescence data, discuss its feasibility for in vivo tumor evaluation, and check its potential for assisting enhanced cancer perception.
Sheen-Woo Lee, Sang Hoon Lee, Zhen Cheng, Woon Seung Yeo   +3 more
doaj   +1 more source