Hyperspectral Remote Sensing
HYPERSPECTRAL REMOTE SENSING: EVALUATION OF R95/HSS SENSOR FOR SPATIALIZATION AND CHARACTERIZATION OF SOIL IN MANAUS, AM - BRAZIL
... (hyperspectral remote sensing), specifically using the HSS sensor, for spectral characterization (spectra forms and mineral absorption bands), propitiating discrimination of the different classes of ...
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Wavelet Shrinkage in Noise Removal of Hyperspectral Remote Sensing Data
... Abstract: It is common in hyperspectral remote sensing studies to perform analysis based on derivative spectroscopy. However, this technique is particularly sensitive to noise in the data. Thus, ...
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SPATIAL-SPECTRAL CLASSIFICATION BASED ON THE UNSUPERVISED CONVOLUTIONAL SPARSE AUTO-ENCODER FOR HYPERSPECTRAL REMOTE SENSING IMAGERY
... Current hyperspectral remote sensing imagery spatial-spectral classification methods mainly consider concatenating the spectral information vectors and spatial information vectors ...common ...
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Hyperspectral remote sensing to assess the water status, biomass, and yield of maize cultivars under salinity and water stress
... the hyperspectral passive sensor (from 302 to 1,048 nm) was used to select some normalised difference ...the hyperspectral passive ...the hyperspectral reflectance readings; 7 wavelengths (720; 790; ...
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Du Wen1 Xu Tongyu 1,2 Yu Fenghua 1,2 Chen Chunling 1,2
... In this study, a hyperspectral remote sensing platform was used to extract nitrogen content from a rice canopy. Machine learning based on Gaussian process regression was utilized to identify the most ...
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Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data.
... optical hyperspectral remote sensing of plant pigment concentrations is within a mature ...of hyperspectral instruments, which started with spectrophotometers and hand-held spectroradiometers ...
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Bol. Ciênc. Geod. vol.19 número4
... Hyperspectral remote sensing images are three-dimensional ...of hyperspectral image may vary dramatically from band to ...of hyperspectral remote sensing image is not ...
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SOIL SPECTRAL IMAGING: MOVING FROM PROXIMAL SENSING TO SPATIAL QUANTITATIVE DOMAIN
... or hyperspectral remote sensing (HRS), is an advanced tool that provides high spectral resolution data in an image, with the aim of providing near- laboratory-quality reflectance or emittance for ...
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An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data
... of hyperspectral remote sensing data (CASI) was conducted for pervious and impervious areas within the City of Surrey road allowance area to provide supporting information for urban flood risk ...
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Distributed Processing Of Large Remote Sensing Images Using MapReduce
... As part of the design of MapReduce algorithms there are also other important design and implementation that must be considered such as inducing the key- value structure on the remote sensing image datasets ...
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A MODIFIED <i>H</i>-α PLANE FOR THE EXTRACTION OF SCATTERING MECHANISMS FROM DUAL CIRCULAR POLARIZATION SAR DATA
... well-developed remote sensing technique for providing high spatial resolution images of the Earth’s surface which provides a vast amount of information for environmental ...
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Application of Remote Sensing Techniques for Mapping Shifting Cultivation
... mote sensing is a most useful tool to monitor natural resources and related environmental proble ms leading to suitable manage ment strategies which would enrich the socio-economic conditions of the tribals and ...
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TARGETED SATELLITE IMAGE CLASSIFICATION FOR URBAN MAP UPDATING USING GEOSPATIAL INFORMATION SYSTEM PLATFORM
... In this step, provided data from GIS platform together with satellite images undergo a supervised image classification. Even though most learning algorithms can be applied, this paper uses Support Vector Machine (SVM) ...
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ACCURACY IMPROVEMENT BY THE LEAST SQUARES IMAGE MATCHING EVALUATED ON THE CARTOSAT-1
... The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W5, 2015 International Conference on Sensors & Models in Remote Sensin[r] ...
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LARGE SCALE URBAN RECONSTRUCTION FROM REMOTE SENSING IMAGERY
... with remote sensing imagery arising from satellites or aerial sensors and furthermore needs to be fully automatic, as the manual effort would render the problem ...
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Supporting Remote Sensing Research with Small Unmanned Aerial Systems
... Useful photogrammetric and remote sensing tools are built into Mission Planner as well. Mission Planner has three basic collections modes: racetrack covers large areas with few turn- arounds, lawnmower ...
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J. Microw. Optoelectron. Electromagn. Appl. vol.11 número1
... microwave remote sensing applications is not as much in the field within the confined layers and ground as it is in the far electromagnetic field scattered into free space, whose asymptotic expression is ...
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Remote Sensing for Mineral Exploration in Central Portugal
... As a final note, the authors would like to emphasise the importance of field validation of remotely sensed data and its integration with other kinds of data. This is the only way that remote sensing should ...
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UPDATING MAPS USING HIGH RESOLUTION SATELLITE IMAGERY
... advanced remote sensing technology solutions to provide reliable and inexpensive information that can be employed for map ...satellite-based remote sensing instruments with less than (50cm) ...
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IMPACT ANALYSIS OF OPEN CAST COAL MINES ON LAND USE/ LAND COVER USING REMOTE SENSING AND GIS TECHNIQUE: A CASE STUDY
... This research explains the use of remote sensing (RS), Global positioning system (GPS), and GIS technology for the detection of LULC changes. In this work LULC changes have been detected using remotely ...
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