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Image matching lies at the heart of photogrammetry and computer vision. For poor textural images, the matching result is affected by low contrast, repetitive patterns, discontinuity or occlusion, few ...
This paper is about the new theory and modeling framework about emergency information rapid publication, we defined and analyzed the connotation and extension of emergency information published rapidl...
A new dynamical dimensional reduction model (HDRM) for hyperspectral images is proposed based on clone selection algorithm which is inspired from nature immune system in this paper. In existing dimens...
Monitoring and evaluating natural disasters is one of important applying fields of remote sensing. In this paper, the authors monitor dynamically the change and move laws of landslides by making use o...
This paper proposes a novel morphology algorithm for target detection of the infrared images, which is optimized by the genetic al gorithm. First, several improvements have been adopted for genetic al...
In computer vision field, structured-light is defined as the light with certain feature. Hence all of the light point, light line and light plane, which are projected by laser equipment and projector...
Airborne Light Detection and Ranging (LiDAR) generates high-density 3D point clouds to provide a comprehensive information from object surfaces. Combining this data with aerial/satellite imagery is qu...
In the remote sensing data not only have radiation error and geometry error, need geometry correction and radiometric correction, but most of them also have “same object different spectrum”and”same sp...
The paper summarises the importance of spatial data quality, especially as data is used more and more in automated processes and decision-making, and as data is integrated or ‘joined-up’ from diverse ...
This study deals with some applications of the concepts developed by the Theory of Evidence, in remote sensing digital image classification. Data from different sources are used in addition to multis...
This paper presents an addition to urban theory through a time-series analysis of remotely sensed imagery using spatial metrics.Results from the research are used to support the theory that urban area...
Image segmentation is the foundation of further object-oriented image analysis, understanding and recognition. It is one of the key technologies in high resolution remote sensing applications. In this...
In this paper, a new image processing model based on Retinex technique and multi-resolution wavelet analysis together to simulate the imaging course and focus mechanism of HSV is proposed. At first, ...
COMPREHENSIVE KNOWLEDGE DISCOVERY: THEORY, CONCEPT AND APPLICATION.
Landscapes are Complex Systems, which by their very nature necessitate a multiscale approach in their monitoring, modeling and management. To assess such broad extents, remote sensing technology is th...

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