hyper-spectral imaging
Hyper-spectral imaging for airborne meteorite detection
... a hyper-spectral camera which would be ultimately tted to an unmanned aerial vehicle ...the spectral signatures of meteorites and on the use of hyper-spectral imaging in ...
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Threshold Bloodstain Recognition Method Based on Hyper-spectral Imaging Technology
... using visible near infrared wavelength hyper-spectral imaging based on the reflectance of different.. substances.[r] ...
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Biologically-inspired data decorrelation for hyper-spectral imaging
... the hyper-spectral data is reduced before feature ...(unprocessed) hyper-spectral data when used for classification pur- poses, feature reduction (or decorrelation) techniques are usually ...
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Interactive Analyses in Marine Fisheries using Passive Optical Remote Sensing Techniques
... or hyper spectral sensor data allows the assessment of in-water properties, such as suspended matter or phytoplankton concentration, benthic substrate type, vegetation composition, and bathymetry in shallow ...
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Distance-based separability criterion of ROI in classification of farmland hyper-spectral images
... The hyper-spectral image contains spectral and spatial information, which increases the ability and precision of objects ...of hyper-spectral imaging technology within various ...
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Research on Camouflage Target Detection via Computational Analysis with Spectral Imaging
... routine spectral imaging is carried out with a hyper-spectral imaging system to obtain spectral data of certain ...for spectral imaging and SID measurement are ...
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Comparative Study of Algorithms for Hyper Spectral Image Classification
... of hyper-spectral imaging to identify various minerals makes it an idealtechnique for the mining and oil industries, where it can be used extensively to look for ore and oil), it has now spread into ...
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A Novel Technique for Weed Detection using Textural Similarities
... The hyper spectral imaging technique with high spectral and spatial resolutions, can be used to extract the spectral, spatial and structural features ...using spectral and shape ...
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The absorption peak map of Mare Serenitatis obtained by a hyper spectral telescope
... The spectral data of the lunar surface were obtained by ALIS (Saiki et ...a hyper-spectral imaging telescope developed by one of the authors (KS) in collabo- ration with JFE Techno-Research ...
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Tongue Diagnosis: A Non-Invasive Approach to Detect Diabetes Mellitus & Diabetic Retinopathy Using Colour, Texture & Geometry Features
... Space resolution of the acquisition module is another important characteristic of TDS hardware resources. TDSs have been recently developed using high-resolution CCD, which can acquire a much larger volume of information ...
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Comparative study on HSI classification with GF and RF
... to Hyper Spectral images ...Visible/Infrared Imaging Spectrometer ...detailed spectral information regarding the physical nature of the materials in that particular image and thus can be used ...
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8- BAND HYPER-SPECTRAL IMAGE COMPRESSION USING EMBEDDED ZERO TREE WAVELET
... JPEG 2000 is the latest international standard for still image compression. The JPEG 2000 encoding is basically a transform coding scheme. To allow for progressive decoding and error resilience, the system is based on ...
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Detection of scab in wheat ears using in situ hyperspectral data and support vector machine optimized by genetic algorithm
... When wheat is infected by scab, its appearance or internal structure changes and shows some differences in spectral reflectance and radiation characteristics. This phenomenon is also the fundamental theoretical ...
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Research on Spectral Polarization Imaging Technique
... Basic concept of the technique [2]: the incident light is modulated by two retarders and one polarizer, and then the light signal is obtained by the spectrometer. The retardation of the two retarders is different and the ...
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Retrieving the availability of light in the ocean utilising spectral signatures of vibrational Raman scattering in hyper-spectral satellite measurements
... In this study the SCIATRAN version 3.2 was used for radia- tive transfer simulations (Rozanov et al., 2014). In contrast to earlier studies, where the downwelling irradiance at the sea surface and the light field in the ...
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Active segmentation and classification for hyper spectral image using back propagation
... subpixelmapping algorithms always utilize the fraction image obtained by the classification image downsampling method as the input information. In Harris corner, the original image downsampling and spectral ...
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Crop Discrimination Using Field Hyper Spectral Remotely Sensed Data
... optical spectral range (Visible - Near Infrared - Short Wave Infrared) starting from 350 nm to 2500 nm with 1 nm interval output ...the spectral range (350 - 1050 nm) while it is 2 nm at the spectral ...
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HOUGH TRANSFORM BASED BROWNBOOST FISHER LINEAR DISCRIMINANT HYPER-SPECTRAL AERIAL IMAGE CLASSIFICATION
... of hyper- spectral aerial image scenes categorization as compared to conventional ...of hyper-spectral image features ...the hyper-spectral aerial image ...several ...
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Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data
... whole spectral information on a large wavelength range, instead of using just a few wavelength bands reflectance ...a hyper-spectral satellite sensor on-board ...in spectral fea- tures of ...
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Hyper spectral Image Restoration using Low Rank Matrix Recovery and Neural Network
... Abstract:Hyper spectral images are those where each pixel forms an almost continuous ...A Hyper Spectral Image restoration method is introduced which is based on low-rank matrix recovery (LRMR) and ...
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