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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...
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 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...
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...
The aim of our report is to show the possibility of mathematical modeling of pattern recognition as information processing in human memory Mathematical model of information processing in human memory ...
Using pushbroom sensors onboard aircrafts or satellites one needs - especially for photogrammetric applications - broad image swaths and high geometrical resolution together. To accomplish both demand...
A classifier based on Bayesian theory and Markov random field (MRF) is presented to classify the active microwave and passive optical remote sensing data, which have demonstrated their respective adva...
The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification...

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