首页|New Support Vector Machines Study Findings Have Been Reported by Investigators a t National Remote Sensing Center (Support Vector Machine-based Integration of Av iris Ng Hyperspectral and Ground Geophysical Data for Identifying Potential Zones ...)
New Support Vector Machines Study Findings Have Been Reported by Investigators a t National Remote Sensing Center (Support Vector Machine-based Integration of Av iris Ng Hyperspectral and Ground Geophysical Data for Identifying Potential Zones ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machine s is the subject of a report. According to news reporting originating from Kolka ta, India, by NewsRx correspondents, research stated, “In the present study, we have integrated the spectral anomaly map derived from airborne visible-infrared imaging spectrometernext generation (AVIRIS-NG) data and residual ground geophy sical anomaly maps (gravity and magnetic) for identifying the mafic cumulates an d chromitites in the Sittampundi Layered-Complex (SLC), Tamil Nadu, India. A spe ctral map of chromite bearing mafic cumulates was prepared by implementing the m atched filtering (MF) algorithm on the selected spectral bands of AVIRIS-NG data using the mixed image spectra of mafic cumulate and chromitite as an end member .”
KolkataIndiaAsiaEmerging Technolog iesMachine LearningSupport Vector MachinesVector MachinesNational Remote Sensing Center
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NSTL
