Multispectral data
Last generation instrument for agriculture multispectral data collection
... of multispectral data are gaining a growing interest and importance in ...new multispectral instrument, namely MAIA, specially developed for agricultural multispectral ...
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Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
... The aim of this study is determination and separation of alteration zones using Concentration-Area (C- A) fractal model based on remote sensing data which has been extracted from Advanced Spaceborne Thermal ...
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Multispectral persistent surveillance
... The most recent strategies in motion detection apply a hybrid approach to the three fundamental techniques. The VSAM system [Collins:2000] employs frame differencing and adaptive background subtraction with some success, ...
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STUDY OF LAND USE CHANGE DETECTION IN FARIDABAD: A GEOGRAPHICAL APPROACH
... Sensing data is exceptionally helpful on account of its succinct view, dull scope and ongoing data ...advanced data in type of satellite symbolisms, along these lines, empower to precisely register ...
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Remotely sensed water limitation in vegetation: insights from an experiment with unmanned aerial vehicles (UAVs)
... with multispectral sensors present an opportunity to monitor vegetation with on-demand high spatial and temporal ...use multispectral imagery from quadcopter UAVs to monitor the progression of a water ...
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Image Enhancement Using Discrete Curvelet Transform
... 3.2 PLANE SEPERATION It divides the input image into the three planes as red, green and blue as shown in fig.1 While displaying the different bands of a multispectral data set, images ob[r] ...
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Data fusion of multispectral remote sensing measurements using wavelet transform
... of multispectral data available from remote sensing ...channel data from the SSM/I instrument are used for ...the data fusion problem, an attempt is made to take advantage of the sparseness ...
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A method for real-time classification of insect vectors of mosaic and brown streak disease in cassava plants for future implementation within a low-cost, handheld, in-field multispectral imaging sensor
... raw multispectral image data were processed using the Optimised Soil Adjusted Vegetative Index approach [20] to mask-out the background supporting leaf ...MSI data was then further processed to ...
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Adaptive Encoding Algorithm for Multispectral Images
... The existing standard compression algorithms, like the JPEG, JPEG2000, or MPEG standards, do not provide satisfactory results for multispectral data, because they do not focus on the statistical features. ...
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Using Vegetation Indices as Input into Random Forest for Soybean and Weed Classification
... and multispectral data have shown promise as tools for agricultural application, including determining canopy water con- tent and water stress of crops [7] [8] [9], assessing insect and disease infestations ...
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Land Cover Classification Using IRS-1D Data and a Decision Tree Classifier
... Geometric distortions manifest themselves as errors in the position of a pixel relative to other pixels in the scene. It is very necessary in mountainous areas where distortion can be high due to the steep relief. A ...
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Combination of Artificial Neural Network with Multispectral Remote Sensing Data as Applied in Site Quality Evaluation in Inner Mongolia
... survey data, including site topographical information (alti- tude, aspect and slope) and soil information (soil type, soil thickness and humus layer thickness) with sub lot as unit of the studied area is also ...
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EIGENBASED MULTISPECTRAL PALMPRINT RECOGNITION
... The palmprint database used is the PolyU Multispectral palmprint database. It is made up of palmprint images from 250 persons with each providing images from two palms for capture. A number of literature have ...
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Enhancement of component images of multispectral
... of the noise (values of input PSNR) and different test images typical for remote sensing. The use of 289[r] ...
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High-resolution tropospheric carbon monoxide profiles retrieved from CrIS and TROPOMI
... of data products from this work are 9 times higher than the existing operational CrIS and AIRS data products, since we use single-footprint CrIS L1B radiances in the retrievals, instead of cloud-cleared ...
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Issues in Dimensionality Reduction of Multispectral and Hyperspectral data
... Observing the earth by remote sensing provides a global picture of the earth. This has wide spread use for military and civilian purpose. Remote sensing can be defined as measuring the properties of an object without ...
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Rank level Fusion of Multispectral Palmprints
... (feature) data of unknown user against all the users (their features) in the database producing a set of dissimilarity scores calculated using the Euclidean ...
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Study on Computer Generated Electromagnetic Effects on Computer Users
... field data,multispectral satellite data, USGS mineral spectra and survey of India topographical sheets were utilized for generation of mineral ...
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Filter Selection for Optimizing Spectral Sensitivity of Broadband Multispectral Camera Based on Maximum Linear Independence
... filters to optimizing the spectral sensitivity of broadband multispectral imaging camera by imaging 366. simulation[r] ...
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The Generation and comparison of multispectral synthetic textures
... 3.4.1 Feature Image Generation 52 3.4.3 Contrast Reversals 55 3.4.4 Spectral Covariance 55 3.5 Psychophysical Evaluation 3.6 Generation 4.0 Results of 55 Synthetic Scenes 58 59 4.1 Stati[r] ...
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