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This paper proposes a method of high-resolution remote sensing image of buildings on semi-automatic edge extraction. The first, pre-process remote sensing image and detecting all the edge; the second,...
A new object-level change detection(OLCD) approach, combining object analysis with change detection process is proposed for land surface monitoring. The object analysis is consisting of Mean Shift(MS)...
In Beijing, the earth surface changes has reached 5 % each year, and artificial detection with high resolution images has been applied to peccancy building monitoring and road change detection. The ma...
This paper researched on change detection of outdated map road feature based on updated high-resolution satellite remote sensing (RS) image. The change of road feature was divided into two parts: one ...
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
Nowadays, the availability of high-resolution images has increased the number of researches on urban land use and land cover classification. Most of them have used object oriented image analysis with ...
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...
In order to improve the classification accuracy of the high resolution remote sensing images, the algorithm based on texture features is proposed in this paper. The image is classified initially by te...
High resolution satellite images such as IKONOS and Quick Bird data provide detail information of land cover at a certain point of time. The small objects in an image represent specific conditions of ...
Over the last couple of years more and more analogue airborne cameras were replaced by digital cameras. Digitally recorded image data show significant advantages to film based data. Digital aerial pho...
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...
This paper describes a new methodology to detect and recognize Object on high resolution multi-spectral images, which involves successively: (1) Resampling the image according to the size of the objec...
The increasing radiometric accuracy and spectral resolution of the new aerospace optical imagers for Earth observation could allow a better characterization of the environment. This is true if accurat...
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Airborne SAR images provide advanced means to get water bodies informatio...
In this paper we report the results of a pilot project we conduct to develop a semi-automated approach for tidal stream network extraction from remote sensor data. Our test site is part of the North I...

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