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RESEARCH ON METHODS OF HIGH COHERENT TARGET EXTRACTION IN URBAN AREA BASED ON PSINSAR TECHNOLOGY
PS points extraction Dispersion of intensity Amplitude threshold Phase analysis Ground deformation
2018/5/14
PSInSAR technology has been widely applied in ground deformation monitoring. Accurate identification of Persistent Scatterers (PS) is key to the success of PSInSAR data processing. In this paper, the ...
BUILDING EXTRACTION BASED ON OPENSTREETMAP TAGS AND VERY HIGH SPATIAL RESOLUTION IMAGE IN URBAN AREA
Building extraction OpenStreetMap Very High Spatial Resolution Tag-based Automatic interpretation urban area
2018/5/14
How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area. To solve this problem, OSM data is introduced to offer vector contour infor...
URBAN AREA CHANGE DETECTION USING TIME SERIES AERIAL IMAGES
Photogrammetry Dense Point Cloud Aerial Image Historical Image Urban Change Detection
2018/6/4
The urban area should be imaged in three-dimensional (3D) for planning, inspection and management. In addition fast urbanisation requires detection the urban area changes which have been occurred with...
AUTOMATIC ROAD EXTRACTION FROM LIDAR DATA BASED ON CLASSIFIER FUSION IN URBAN AREA
LIDAR Road Extraction Classifier Fusion Classifier selection Genetic Algorithm
2016/2/29
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR
data in urban area are used mostly to deal with the 3D points cloud an...
AUTOMATIC ROAD EXTRACTION FROM DENSE URBAN AREA BY INTEGRATED PROCESSING OF HIGH RESOLUTION IMAGERY AND LIDAR DATA
Extraction Road Multisensor High Resolution
2015/6/1
Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a
challenging issue due to the high complex image scene. From imagery, t...
Automatic Classification of coarse density LiDAR data in urban area
LIDAR Vehicle Classification Airborne Urban PCA NDSM DTM
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...
TOWARDS CHANGE DETECTION IN URBAN AREA BY SAR INTERFEROMETRY AND RADARGRAMMETRY
Change detection Urban area InSAR Radargrammetry
2014/4/24
Change detection in urban area is an active topic in remote sensing. However, well-dealt subject in optical remote sensing, this research topic is still at an early stage and needs deeper investigatio...
Anemia and Iron Deficiency in Adolescent School Girls in Kavar Urban Area, Southern Iran
Adolescent Anemia Iron deficiency Iran
2015/9/22
Background: Anemia is one of the most common public health problems especially in developing countries. We investigated the prevalence of anemia, iron deficiency anemia and related risk factors in ado...
CLUSTERING OF LIDAR DATA USING PARTICLE SWARM OPTIMIZATION ALGORITHM IN URBAN AREA
Clustering LIDAR Particle swarm optimization Urban Area Object Extraction
2016/2/29
One of the fundamental steps in the transformation of the LIDAR data into the meaningful objects in urban area involves their
segmentation into consistent units through a clustering process. Neverth...
By putting the video camera on the mount, which rotates at the steady speed, and taking the
images of 360 degrees. It would be able to easily realize the 3D measurement of the object. In
this stud...