Results 31 to 40 of about 1,605,385 (193)
Quality criteria benchmark for hyperspectral imagery [PDF]
, 2005 Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel +2 more
core +1 more source
YOLOrs: Object Detection in Multimodal Remote Sensing Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Deep-learning object detection methods that are designed for computer vision applications tend to underperform when applied to remote sensing data. This is because contrary to computer vision, in remote sensing, training data are harder to collect and ...
Manish Sharma +6 more
doaj +1 more source
Pushing the Limits of Seagrass Remote Sensing in the Turbid Waters of Elkhorn Slough, California
Remote Sensing, 2019 Remote sensing imagery has been successfully used to map seagrass in clear waters, but here we evaluate the advantages and limitations of different remote sensing techniques to detect eelgrass in the tidal embayment of Elkhorn Slough, CA.
Heidi M. Dierssen +5 more
doaj +1 more source
Effective classification of Chinese tea samples in hyperspectral imaging [PDF]
, 2013 Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang +2 more
core +4 more sources
Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing
GIScience & Remote Sensing, 2020 There is fine-scale spatial heterogeneity in key vegetation properties including leaf-area index (LAI) and biomass in treeless northern peatlands, and hyperspectral drone data with high spatial and spectral resolution could detect the spatial patterns ...
Aleksi Räsänen +7 more
doaj +1 more source
Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree
Communications, 2014 A land cover classification system is very important nowadays for various remote sensing applications and many sectors of economy. Therefore, development of algorithms for multi- and hyperspectral imagery classification is an urgent task.
Sergey Stankevich +2 more
doaj +1 more source
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 +3 more
core +1 more source
Silva Fennica, 2017 Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics.
Tuominen, Sakari +6 more
doaj +1 more source
UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring
Sensors, 2018 Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial image processing can enable UASs to rapidly and continually monitor coral reefs, to determine the type of coral and signs of coral bleaching.
Mark Parsons +3 more
doaj +1 more source
Topographic Effects on Optical Remote Sensing: Simulations by PLC Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Optical remote sensing offers a convenient method to monitor changes in mountain vegetation at regional and global scales, thanks to its synoptic coverage and frequent temporal sampling capabilities provided by satellite observations.
Rui Chen +3 more
doaj +1 more source