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Near surface air temperature (NSAT) is a primary descriptor of terrestrial environment conditions. The availability of NSAT with high spatial resolution is deemed necessary for several applications su...
Existing 3D indoor mapping of RGB-D data are prominently point-based and feature-based methods. In most cases iterative closest point (ICP) and its variants are generally used for pairwise registratio...
Image segmentation has the general goal to define regions within an image, in which all pixels have similiar properties. For fully-polarimetric SAR data this is often done by spectral classification w...
This paper extends kernel weighted GMM estimators recently proposed by the author in the context of homoskedastic processes to a class of models with conditionally heteroskedastic innovations. GMM e...
The spatial relationship between vegetation patterns and rainfall as well as its trend over the period 1985-2000 in the shrubland, grassland, and cropland of the Middle Kazakhstan was investigated wi...
The improved spectral resolution of modern hyperspectral sensors provides effective means for discrimination of subtly different classes and objects. However, in order to obtain statistically reliabl...
Synthetic aperture radar in the application of remote sensing technology is becoming more and more widely because of its all-time and all-weather operation, feature extraction research in high resolut...
For wide application of change detection with SAR imagery, current processing technologies and methods are mostly based on pixels. It is difficult for pixel-based technologies to utilize spatial chara...
The line-photogrammetric bundle adjustment is a new approach for the 3D reconstruction of polyhedral objects, with several advantages. Observing lines instead of points and integration of additional o...
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semi-supervised feature extraction method called Adjusted Semi supervised Discriminant ...
This paper describes the requirements for a weighted visibility classification of seats in the University of New Brunswick’s (UNB) Aitken University Centre (AUC). Price levels for seats are typically ...
The main problem of educational centers in a mega city like Tehran, capital of Iran, is that no enforced service areas exist to guide school selection or allow students to make the most convenient com...
Normalized Cut according to (Shi and Malik 2000) is a well-established divisive image segmentation method. Here we use Normalized Cut for the segmentation of laser point clouds in urban areas. In part...
In this paper, we present an extrapolation approach, which uses minimum weighted norm constraint and minimum variance spectrum estimation, for improving synthetic aperture radar (SAR) resolution. Mi...
Urban geographers have been studying to explain factors influencing crime on cases limited by their study areas. Researchers have a common opinion that explanatory variables modelling crime on tho...

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