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搜索结果: 1-15 共查到Object Based Classification相关记录29条 . 查询时间(0.105 秒)
Topography and geology are factors to characterize the distribution of natural vegetation. Topographic contour is particularly influential on the living conditions of plants such as soil moisture, sun...
Multiscale segmentation is a key prerequisite step for object-based classification methods. However, it is often not possible to determine a sole optimal scale for the image to be classified because i...
Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is ...
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...
A system for object-based classification of landscape types incorporating topographic data was designed and tested in a Japanese countryside target area. IKONOS data (Japan Space Imaging - multi-spect...
Remote sensing techniques have been commonly used to map land cover and land use types. For many applications, users may only be interested in a specific land class in an image such as extracting urba...
As a contribution to a better understanding of the integration of different data sets into knowledge-based classification processes the presented study compares different data-fusion techniques which ...
The availability of up-to-date and reliable land cover maps is of great importance for many earth science applications. For the generation of operational and transferable land cover products the devel...
Uncontrolled sprawl occurring in large cities of developing countries requires intensive mapping efforts to update geodatabases. The intense urbanization process experienced since the 70’s in Sao Paul...
Continuous monitoring and updating of distribution maps is essential for conservation and management of plant communities,especially in regions where change and development are rapid. Traditional meth...
Object-based classification is a promising methodology. Unlike pixel-based techniques which only use the layer pixel values, the object-based techniques can also use shape and context information of a...
This paper assesses the feasibility of forest cover mapping and the delineation of deforestation using Japanese Earth Resource Satellite (JERS-1) Synthetic Aperture Radar (SAR) data. The assessment is...
The detection of forest types and structure parameters is of major importance for the design of forest inventories, for the application of forest management practices as well as for the monitoring of ...
Digital spatial data are underlying strong temporal changes. The typical approach of updating these changes is to check the data manually by superimposing them on up-to-date orthoimages from aerial or...
Land uses in rural areas of Japan, which typically consist of small agricultural fields, complex vegetation covers, and sparsely distributed residential areas, have been problematic in terms of land...

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