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We present a building reconstruction approach, which is based on a target graph matching algorithm to relate laser data with building models. Establishing this relation is important for adding build...
We consider the problem of optimal matching with queues in dynamic systems and investigate the value-of-information.In such systems, the operators match tasks and resources stored in queues, with the ...
Matching is of great importance in photogrammetry and remote sensing and it is applied in many areas such as registration、DEM generation and so on. As a new type of airborne remote sensing sensor, Air...
Image matching is one of the key technologies in remote sensing image fusion and navigation. Image matching of Synthetic Aperture Radar (SAR) is a process to find relationship of pixels in many SAR im...
Aerial photos are broadly used to generate the 4D(DEM, DOM, DLG, DRG) products in photogrammetry, but there are some difficult areas where are usually rainy and cloudy, so in these areas optical image...
Automatic registration of image sequences has been a subject of research for many years, both in the photogrammetric and computer vision communities. As part of the automation, linear orientation me...
This paper describes a purely geometrical approach for matching and chaining edgels, i.e. contours points with their tangent direction, to reconstruct in a general way 3D rectilinear or curved surfac...
As the representation of terrain surface and height information, the contour data has the strict constraint relationship with the distribution of river network. In spatial data integration and matchin...
Generally, there are two ways to generate Digital Elevation Model (DEM) using synthetic aperture radar (SAR) data, which are Interferometer Synthetic Aperture Radar(InSAR) and radargrammetry. Consider...
Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little discussed. In this pape...
From visual perception viewpoint, actions in videos can capture high-level semantics for video content understanding and retrieval.However, action-level video retrieval meets great challenges, due to ...
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under challenging real situat...
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the classic RANSAC based m...
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
Automatic multi image matching of linear features still remains to be a problem in both the photogrammetric and computer vision communities. Changes in the illumination conditions, camera position, ...

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