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This paper represents a study on land-cover classification using different polarimetric SAR features. The experiment is carried out using C- and L-band fully polarimetric EMISAR data acquired on July ...
1:50000 land cover classification and mapping program is an important part of the mapping project in western China, which is organized by Chinese State Bureau of Surveying and Mapping Organization and...
The main purpose of this project was to investigate the possibility of using airborne laser scanning data as a source of information for supervised land cover classication of Widawa River vall...
In this paper a general fuzzy approach for segmentation-based classication is proposed. Traditional segmentation techniques focus on partitioning imagery into image-objects with well-deᤙ...
We present a new object-oriented land cover classification method based on Support Vector Machine (SVM) by fusing spectral and textural information of High-Resolution (HR) aerial imagery and Digital...
A combination of the two remote sensing systems, imaging spectrometry (IS) and Light Detection And Ranging (LiDAR), is well suited to map fuel types, especially within the complex wildland urban inte...
The study of the land cover is one of the most important factors for planning and managing activities concerning the use of land surface on this earth. Remote sensing techniques have improved mappin...
This paper describes a methodology for systematic land use/land cover classification on a regional scale, with emphasis on a low cost and highly automatized approach. This methodology is based on mul...
Topographic correction is an important data preprocessing step when land cover classification and quantitative analysis of multispectral data are carried out in mountainous regions. Solar illuminatio...
This paper describes the results of a preliminary study towards the use of MERIS data for land cover classification in the Ukrainian Carpathians. The work is carried out in the frames of BEAR initiat...
The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well hig...
Since 1999, Very High spatial Resolution satellite data (Ikonos-2, QuickBird and OrbView-3) represent the surface of the Earth with more detail. However, information extraction by multispectral pixel-...
The National Land and Water Information Service (NLWIS), an Agriculture and Agri-Food Canada (AAFC) initiative, is tasked with mapping ‘circa 2000’ land cover for agricultural areas of Canada with an ...
This paper discusses the problem of scale in current approaches to Object Based Image Analysis (OBIA), and proposes how it may be overcome using theories of texture. It is obvious that aerial images c...
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 ...

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