isprs archives XLI B7 379 2016
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Therefore the COSM O-SkyM ed Himage imagery appear able to guarantee a displacements monitoring with an accuracy of few centimetres using only the amplitude data, provided
Then we try to model the statistics of the pixel coherence for each type of region, with different models including Gaussian, Rayleigh, Weibull, Beta and Nakagami.. Finally,
Airborne lidar, also known as airborne laser scanning (ALS), has already proven to be a valuable geometric source for facilitat- ing radiometric calibration of hyperspectral
Two main processes were involved: (1) automatic extraction of building roofs using the integration of LiDAR data and aerial imagery in order to derive its’ outline and areal
It combines saliency analysis and feature learning to extract semantic information to improve the detection of harbour on high resolution remote sensing
The major goal of this work is to perform a workflow for semantic labelling in city areas using multi-spectral aerial imagery and DSM, which is based on combining a CNNs image
In this paper, a new combination between improved Freeman de- composition and the unsupervised Gaussian mixture model (GMM) classification is proposed.. Standard GMM
Using the same classification algorithm and classified in the same semantic hierarchy, the relationship of the image quality index and classification accuracy is discussed
