Results 31 to 40 of about 1,381,574 (256)

Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Compressive sensing (CS) has received considerable interest in hyperspectral sensing. Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).
C. J. Della Porta, Chein-I Chang
doaj   +1 more source

Special Issue “Hyperspectral Remote Sensing of Agriculture and Vegetation” [PDF]

Remote Sensing, 2020
The advent of up-to-date hyperspectral technologies, and their increasing performance both spectrally and spatially, allows for new and exciting studies and practical applications in agriculture (soils and crops) and vegetation mapping and monitoring atregional (satellite platforms) andwithin-field (airplanes, drones and ground-based platforms) scales.
Simone Pascucci, Stefano Pignatti, Raffaele Casa, Roshanak Darvishzadeh, Wenjiang Huang   +4 more
openaire   +5 more sources

Airborne Visible/Infrared Imaging spectrometer AVIS: Design, characterization and calibration [PDF]

, 2007
The Airborne Visible/Infrared imaging Spectrometer AVIS is a hyperspectral imager designed for environmental monitoring purposes. The sensor, which was constructed entirely from commercially available components, has been successfully deployed during ...
Mauser, Wolfram, Oppelt, Natascha, Natascha Oppelt, Wolfram Mauser   +3 more
core   +1 more source

Fusion of Various Band Selection Methods for Hyperspectral Imagery

Remote Sensing, 2019
This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang, Lin Wang, Hongye Xie, Chein-I Chang   +3 more
doaj   +1 more source

An Encoder–Decoder with a Residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images

Remote Sensing, 2022
For many urban studies it is necessary to obtain remote sensing images with high hyperspectral and spatial resolution by fusing the hyperspectral and panchromatic remote sensing images.
Rui Zhao, Shihong Du
doaj   +1 more source

Multi- and hyperspectral geologic remote sensing: A review

International Journal of Applied Earth Observation and Geoinformation, 2012
Geologists have used remote sensing data since the advent of the technology for regional mapping, structural interpretation and to aid in prospecting for ores and hydrocarbons. This paper provides a review of multispectral and hyperspectral remote sensing data, products and applications in geology. During the early days of Landsat Multispectral scanner
Freek D. van der Meer, Harald van der Werff, Frank van Ruitenbeek, Chris A. Hecker, Wim H. Bakker, Marleen F. Noomen, Mark van der Meijde, Emmanuel John M. Carranza, J. Boudewijn de Smeth, Tsehaie Woldai   +9 more
openaire   +5 more sources

Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina

Agriculture, 2023
Early crop disease detection is one of the most important tasks in plant protection. The purpose of this work was to evaluate the early wheat leaf rust detection possibility using hyperspectral remote sensing.
Anton Terentev, Vladimir Badenko, Ekaterina Shaydayuk, Dmitriy Emelyanov, Danila Eremenko, Dmitriy Klabukov, Alexander Fedotov, Viktor Dolzhenko   +7 more
doaj   +1 more source

En-Decoded Index Guided Edge Refinement Network for Change Detection of Remote Sensing Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Change detection (CD) aims to analyze pairs of remote sensing images (RSIs) that are captured at different times to identify valuable information regarding changes in land features, which plays a crucial role in the fields of urban planning ...
Chunyan Yu, Chi Yu, Feihong Zhou, Yulei Wang, Qiang Zhang   +4 more
doaj   +1 more source

Hyperspectral imaging for the remote sensing of blood oxygenation and emotions [PDF]

, 2012
This PhD project is a basic research and it concerns with how human’s physiological features, such as tissue oxygen saturation (StO2), can be captured from a stand-off distance and then to understand how this remotely acquired physiological feature ...
Chen, Tong
core   +5 more sources

Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang, Yulei Wang, Hongzhou Wang, Lifu Zhang, Enyu Zhao, Meiping Song, Chunyan Yu   +6 more
doaj   +1 more source