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IMPROVING UNDERWATER ACCURACY BY EMPIRICAL WEIGHTING OF IMAGE OBSERVATIONS
underwater photogrammetry, image quality, bundle adjustment, image observation weighting
2018/6/4
An underwater imaging system with camera and lens behind a flat port does not behave as a standard pinhole camera with additional parameters. Indeed, whenever the entrance pupil of the lens is not in ...
WAVELENGTH SELECTION OF HYPERSPECTRAL LIDAR BASED ON FEATURE WEIGHTING FOR ESTIMATION OF LEAF NITROGEN CONTENT IN RICE
Hyperspectral LiDAR Feather Weighting Leaf Nitrogen Content Wavelength Selection Partial Least Squares Support Vector Machine
2016/7/4
Hyperspectral LiDAR (HSL) is a novel tool in the field of active remote sensing, which has been widely used in many domains because of its advantageous ability of spectrum-gained. Especially in the pr...
A NEW MULTIMODAL MULTI-CRITERIA ROUTE PLANNING MODEL BY INTEGRATING A FUZZY-AHP WEIGHTING METHOD AND A SIMULATED ANNEALING ALGORITHM
Route planning Multi-criteria Fuzzy-AHP Simulated annealing
2016/1/15
A multimodal multi-criteria route planning (MMRP) system provides an optimal multimodal route from an origin point to a destination point considering two or more criteria in a way this route can be a ...
Modelling Local Gps/levelling Geoid with The Assesstment of Inverse Distance Weighting and Geostatistical Kriging Methods
Geodesy Modelling DEM/DTM
2015/7/6
According to wide spread use of satellite based positioning techniques, especially GPS (Global Positioning System), a greater
attention has started to be paid to precise determination of geoid models...
Accurately Weighting Subbands in Temporal Wavelet Transform
Accurately Weighting Subbands Temporal Wavelet Transform
2010/12/16
Wavelet-based scalable video coding is a promising technique for streaming video applications,especially the Motion Compensated Temporal Filtering (MCTF). It usually decomposes the input video frames...
Weighting Observation Vectors for Robust Speech Recognition in Noisy Environments
Weighting Observation Vectors Robust Speech Recognition Noisy Environments
2013/6/27
In this paper, we propose a novel approach to robust speech recognition in noisy environments by discriminating the observation vectors. In conventional HMM-based speech recognition, all the observ...