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This paper presents a statistical method to match feature points from stereo pairs of images. The proposed method is evaluated in terms of effectiveness, robustness and computational speed. The evalua...
Image fusion is the combination of two or more different images to form a new image by using a certain algorithm. The aim of image fusion is to integrate complementary data in order to obtain more an...
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...
The U.S. Army and other Department of Defense (DoD) combat and combat support agencies requires automated feature extraction (AFE) software for collecting very high-resolution 3D urban features from t...
Feature Analyst is a commercial feature extraction software system that leverages multiple object recognition attributes,using semi-automated to automated workflows, to accelerate the collection of fe...
Traditional data model takes the geometric object as the modeling target and results directly in decomposing geographic phenomena into a series of objects. Furthermore, the temporal data and spatial d...
Most of the research in remote sensing is focused on developing well-defined and reliable automated processes for the extraction of information from different types of imagery. In this communication w...
For the purposes of our study, an ASTER satellite image was used, acquired on 5 October, 2001, with 14 spectral bands resampled at the spatial resolution of 15 m. The study area concerns the geograph...
Hyper-spectral remote sensing increases the volume of information available for research and practice, but brings with it the need for efficient statistical methods in sample spaces of many dimensio...
Peak is an important feature in Synthetic Aperture Radar(SAR), which represents essence of scattering centre. There are two general approaches in the literature to extract peak. One way is to extract ...
Synthetic aperture radar in the application of remote sensing technology is becoming more and more widely because of its all-time and all-weather operation, feature extraction research in high resolut...
Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have ...
Laser scanning is playing an important role in an acquisition of the 3D spatial objects in urban because of real-time and high efficiency than traditional methods. The research presented in this pape...
Three dimension data are in great demand for the various applications such as 3D GIS, navigation, digital archive, simulation, computer games, and so on. In order to represent space in details, it is...
The extraction of texture features from high resolution remote sensing imagery provides a complementary source of data for those applications in which the spectral information is not sufficient for i...

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