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High resolution remote sensing images are bearing the important strategic information, especially finding some time-sensitive-targets quickly, like airplanes, ships, and cars. Most of time the problem...
This paper presents an algorithm for the automatic registration of terrestrial point clouds by match selection using an efficiently conditional sampling method -- threshold-independent BaySAC (BAYes S...
Acquisition of large scale scenes, frequently, involves the storage of large amount of data, and also, the placement of several scan positions to obtain a complete object. This leads to a situation wi...
With the emergence of more and more satellites delivering very high resolution (VHR) imagery with ground sampling distances in the range of one meter or below the generation of three dimensional urban...
Concentration of atmospheric methane is considered to have a significant effect on climate because of its GWP (Global Warming Potential), which is 21 times of CO2. Methane is generated by the process...
The main objective of this research is to improve understanding of the methodological and validation requirements for mapping urban land cover over large areas from coarse resolution remotely sensed d...
NDVI obtained from satellite at the pixel over the area of crop cultivation would represent a specific temporal profile, which could be discriminated from that of other land use. In this study, the ...
Automatic Classification of coarse density LiDAR data in urban area     LIDAR  Vehicle  Classification  Airborne  Urban  PCA  NDSM  DTM       font style='font-size:12px;'> 2014/7/30
The classification of different objects in the urban area using airborne LIDAR point clouds is a challenging problem especially with low density data. This problem is even more complicated if RGB info...
Segmenting hair regions from human images facilitates many tasks like hair synthesis and hair style trends forecast. However, hair segmentation is quite challenging due to hair/background confusion an...
Although many approaches have been proposed for video shot boundary detection, dissolve detection remains an open issue. For a dissolve, we could find that the video frames reveal a “clarity–blur–cl...
We study the benefit of gridless wavelength assignment. An efficient spectrum assignment algorithm is developed. It is found a mini-grid case with a certain grid granularity performs almost the same a...
Particulate matter was collected at Gosan, Korea, a remote location in the East China Sea, from late-March through May, 2007. Two sizes of particles, fine (PM2.5) and coarse (PM10–2.5) modes, were an...
Automatic facial expression recognition for novel individuals from 3D face data is a challenging task in pattern analysis. This paper describes a feature selection process for pose-invariant 3D facial...
The landscape patches that are fundamental to landscape ecology may be considered as objects to be extracted from remotely sensed imagery. The accuracy with which objects may be characterised varies ...
Identification of Sources of Fine and Coarse Particulate Matter in Dhaka, Bangladesh     PMF  PSCF  CPF  Back trajectory       font style='font-size:12px;'> 2016/3/29
In Bangladesh, the ambient air within Dhaka city is highly polluted by motor vehicle and brick kiln emissions. In addition, meteorological conditions during the winter cause increases in the fine par...

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