Results 171 to 180 of about 1,605,385 (193)
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Prediction of Soil Organic Carbon by Hyperspectral Remote Sensing Imagery
2012 Third Global Congress on Intelligent Systems, 2012Conventional analyses of soil characteristic are expensive, time-consuming, and may result in environmental pollutants. Hence, the objective of this study was: 1) to investigate the potential of VIS-NIR spectroscopy to estimate soil organic carbon (SOC), 2) to use the Hyper ion reflectance data (400-2500 nm) to map SOC in the bare soils.
Peng Lu, Zheng Niu, Linghao Li
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Hyperspectral Remote Sensing Imagery Processing Focused on Forest Applications
International Review of Aerospace Engineering (IREASE), 2017Imaging spectrometers with hundreds of spectral channels in visible and infrared regions are designed by various companies to enhance the information content of the relevant hyperspectral imagery processing compared to common-used multispectral systems.
Vladimir V. Kozoderov +2 more
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Remote sensing with hyperspectral imagery using DASI-an imaging interferometer
IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 2002Describes an approach to terrestrial remote sensing using a novel technique, imaging interferometry. A practical implementation of the instrument, the Digital Array Scanned Interferometer (DASI), has been under development at the authors' laboratories. An overview of recent terrestrial scenes measured using an airborne DASI sensor is presented.
P.D. Hammer +7 more
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Multiscale Spatial Sparse Unmixing for Remotely Sensed Hyperspectral Imagery
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Jiajun Zheng +6 more
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Feasibility Study of Hyperspectral Line-Scanning Camera Imagery for Remote Sensing Purposes
2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018Hyperspectral instruments are used to characterise (terrestrial)and planetary surfaces, oceans and the atmosphere. At present there are a number of aircraft systems and space missions. Examples are DESIS on the ISS and MERTIS as part of the planetary mission Bepi Colombo. In this work a scanning system for hyperspectral panoramas is investigated.
Agnieszka Soszynska +2 more
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2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
An extended superresolution observation model is proposed for POCS superresolution of hyperspectral images. Multiple constraint criteria based on a priori knowledge were incorporated: data consistence, amplitude constraint, Total Variation edge smoothing constraint, outlier rejection, and PCA based denoising.
Jianglin Ma, Jonathan Cheung-Wai Chan
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An extended superresolution observation model is proposed for POCS superresolution of hyperspectral images. Multiple constraint criteria based on a priori knowledge were incorporated: data consistence, amplitude constraint, Total Variation edge smoothing constraint, outlier rejection, and PCA based denoising.
Jianglin Ma, Jonathan Cheung-Wai Chan
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Cascaded Autoencoders for Spectral-Spatial Remotely Sensed Hyperspectral Imagery Unmixing
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Yueshuai Shan +5 more
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Independent-component analysis for hyperspectral remote sensing imagery classification
Optical Engineering, 2006We investigate the application of independent-component analysis ICA to remotely sensed hyperspectral image classification. We focus on the performance of two well-known and frequently used ICA algorithms: joint approximate diagonalization of eigenmatrices JADE and FastICA; but the proposed method is applicable to other ICA algo- rithms.
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An Understanding Rice Hyperspectral Remote Sensing Imagery Classification Framework
2019The staple food for the Indonesian people is rice because in rice it contains a large number of calories for the intake of more than 200 million people. Hyperspectral is the sensors that can be used in a variety of applications, one of which is for rice monitoring.
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Remote Sensing Inversion of Tobacco SPAD Based on UAV Hyperspectral Imagery
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Rui Qin +10 more
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