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In this work, we propose an active contour model with a local variance force (LVF) term that can be applied to multi-phase image segmentation problems. With the LVF, the proposed model is very effecti...
The microwave remote sensing is highly useful, as it provides synoptic observation of the Earth’s surface or planetary bodies, regardless of day or night and the atmospheric conditions, propagation th...
The data and services analysis are indispensable for the refined development of SDI. This paper, taking Chinese NSDI as a study case, analyzed the data and services advantages and shortcomings of Chin...
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
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...
Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due ...
We propose a method for modeling planar multiport antennas of arbitrary shape using characteristic mode theory (CMT) without physically including the feeds. The characteristic modes of the feed-free s...
A number of psychological and physiological evidences suggest that early visual attention works in a coarse-to-fine way, which lays a basis for the reverse hierarchy theory (RHT). This theory states t...
The territorial data acquisition technologies vary second of the final product scale use. So it can be passed that the classical topographical survey or terrestrial laser scanners survey for engineeri...
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...
The spatio-temporal data is our cognition to external matter and the spatio-temporal data model is the fundamental basic to manage the spatio-temporal data. The spatio-temporal object is always changi...
InSAR, a new branch of Remote Sensing technology, has developed remarkably in recent years. Many researches have showed that high precision is always one of the most important goals in its development...
For tasks such as the generation of realistic visualizations from pedestrian viewpoints in virtual reality and multimedia applications, urban models extracted from airborne data are too coarse and t...
Thispaperpresentsasize-structureddynamicalmodelofplantgrowth.Themodel takes the form of a partial differential-integral equation and includes the effects of self-shading by leaves. Closed form solutio...
A new statistical model for routing of gate arrays is described. The model takes into consideration the effect of gate utilization on wiring area requirement. Model computed wiring area estimates sugg...

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