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Pan-sharpening of very high resolution remotely sensed imagery need enhancing spatial details while preserving spectral characteristics, and adjusting the sharpened results to realize the different em...
Pixel-based classification method is widely used with the purpose of detecting land use and land cover with remote sensing technology. Recently, object-based classification methods have begun to be us...
Over-parameterization and over-correction are two of the major problems in the rational function model (RFM). A new approach of optimized RFM (ORFM) is proposed in this paper. By synthesizing stepwise...
State of the art for the investigation of the settlements' extension and their temporal change is either conventional mapping (field work, cadastral maps, topographic and thematic maps) or aerial phot...
The woodland which covers mainly the district in Jinyunshan Mountain ,Zhongliangshan Moutain, Tongluoshan Mountain and Mingyueshan Mountain area , is very important to accommodate ecological environme...
Wetlands are considered an integral part of the global ecosystem, the development of the remote sensing technology makes us obtain very abundant information of wetlands, especially with the appearance...
Receiving rapid, accurate and comprehensive knowledge about the conditions of damaged buildings after earthquake strike and other natural hazards is the basis of many related activities such as rescue...
High-resolution satellite imagery is a viable source of imagery for spatial data generation in a developing country such as Bhutan.Half-metre to 1m resolution HRSI has the potential to be used for top...
A new generic pushbroom sensor model for high-resolution satellite images is presented. The sensor orbit and attitudes are modelled by splines. In order to determine the parameters of the orbit and at...
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
This paper evaluates an inductive learning approach classification technique for vehicle detection and enumeration on very high resolution imagery. It tests pre-processing procedures applied to differ...
Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature ...
Recent availability of high-resolution satellite images provides a new data source for geospatial data acquisition. This high-resolution data source has made possible to extract man-made features such...
This paper evaluates an inductive learning approach classification technique for vehicle detection and enumeration on very high resolution imagery. It tests pre-processing procedures applied to differ...
Since the successful launch of IKONOS in 1999, a new source of imagery has been available to the civilian spatial-data user. In many parts of the world high resolution satellite imagery from IKONOS, Q...

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