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This paper analyzes the drawbacks of traditional land grade clustering method, introduces cloud model into the frequency histogram drawing process, and advances the land grade clustering method based ...
The usage of single geographical footprint model in existing Geographical Information Retrieval (GIR) system will cause many problems like overestimation or underestimation of the geographical scopes ...
Clustering spatial data can be interpreted as a segmentation or classification process for finding meaningful patterns in geospatial databases. Such patterns can be used to adapt further algorithms to...
Model merging is widely used in many domains such as geography modeling, 3D design of highway and railway route and so on, so it is essential to design an efficient model merging algorithm. The object...
In order to simplify the generalization of contour lines during the compilation of maps at smaller scales, an indirect method is put forward based on the generalization of the corresponding DEM first ...
Single-look complex image coregistration is the key step of Synthetic Aperture Radar(SAR) Interferometry. The precision of the coregistration results have a direct effect on the quality of the SAR int...
LIDAR systems have come to be extensively used in photogrammetry and mapping sciences. The accuracy of 3D information is mainly affected by navigational and system-dependent uncertainties, but also by...
The REIN algorithm makes use of the redundancy in lidar point cloud to generate bare ground DEM and vegetation canopy nDSM.The influence of the input lidar point density on the DEM precision and conse...
The Sea Surface Temperature (SST) retrieval from satellites data Thus, it could provide SST data for a long time. Since, the algorithms of SST estimation by using Landsat 8 Thermal Band are sitedepend...
Spatially explicit land use / land cover (LUCC) models aim at simulating the patterns of change on the landscape. In order to simulate landscape structure, the simulation procedures of most computatio...
The common hippopotamus (Hippopotamus amphibius L.) is part of the animal species endangered because of multiple human pressures. Monitoring of species for conservation is then essential, and the deve...
An algorithm for building detection in aerial images is presented. The algorithm is based on a combination of unsupervised segmentation and selection of a training set based on existing building regis...
An empirical relationship of Total Suspended Sediments (TSS) concentrations and reflectance values obtained with Drones’ aerial photos and processed using remote sensing tools was set up as the main o...
If given a consecutive set of images of the same region of the Earth obtained from space, an untrained human will easily solve many of the remote sensing problems, such as selecting clear-skies area...
This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas...

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