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In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extractin...
Point cloud data has been one type of widely used data sources in the field of remote sensing. Key steps of point cloud data’s pro-processing focus on gross error elimination and quality control. Owin...
Playing an important role in gathering information of social infrastructure damage, Synthetic Aperture Radar (SAR) remote sensing is a useful tool for monitoring earthquake disasters. With the wide ap...
The existing cloud detection methods in photogrammetry often extract the image features from remote sensing images directly, and then use them to classify images into cloud or other things. But when t...
The paper proposed a Quadtree-based vector data structure which supports multi-representation of geographic data: Zoom Quadtree, it aims to meet the requirement of vector-based WebGIS in efficient ret...
Today with the fast advancement of spatial data acquisition ability, the update circle of data becomes shorter and shorter and the volume of spatial data increases more and more, and distributed stora...
For achieving high-quality LIDARgrammetry and performing surface reconstruction by 3D point clouds acquired at different locations or in different coordinate systems, a novel method was proposed and i...
In forestry applications, the great challenge is to automatically extract as much information as possible on forest structure, the vertical and horizontal distribution of vegetation, the delineation o...
The vast increase of the volume of three dimensional topographic data acquired by Airborne LIDAR extends the possibility of the visualization method. The maximum laser pulse frequency of modern LIDAR ...
Many conventional contrast enhancement techniques adopt a global approach to enhance all the brightness level of the image. However, it is usually difficult to enhance all land cover classes appearing...
The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values...
Speckle noise caused by interference of electromagnetic waves complicates Synthetic aperture radar (SAR) images to be interpreted and further practical application, therefore reducing speckle noise an...
The purpose of filtering LIDAR data is to extract the laser points which are truly reflected from the bare ground. However, the results obtained may vary since several engineers are involved in the ma...
A comparison of erythemally weighted surface UV irradiance observations with similar NASA TOMS surface UV determinations is described. Comparisons are made for two observation periods: the Robertson-...
The standard method for measuring QE for a CCD sensor is not adequate for CMOS APS since it does not take into consideration the random offset, gain variations, and nonlinearity introduced by the APS ...

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