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Artificial neural network (ANN) is an important part of artificial intelligence, it has been widely used in remote sensing classification research field. Wetlands remote sensing classification based on ANN is difficult, because of the complex feature of wetlands areas. The purity of training samples for remote sensing image supervised classification is difficult to guarantee that will affect the classification...
This paper discusses knowledge discovery and feature extraction on the basis of traditional classification method of the remote sensing picture. Multi-level classification method is used in monitoring of mining area land cover. This method is superior to the classifying device of single routine. In this paper, Kailuan mining area land cover change is obtained by using multi-level classification method...
Landslide susceptibility zonation is essential for disaster management and control in mountainous regions. Most landslide susceptibility zonations up to now are pixel-based and somehow are impracticable in landslide hazard management. In this paper, we propose a procedure for slope unit-based landslide susceptibility zonation with a case study of Shenzhen, China. First, the flat terrain is removed...
The forest ecosystem in the Northeastern Asia (NEA) has been undergoing dramatic changes because of forest fires and massive logging. MODIS (Moderate Resolution Imaging Spectroradiometer) vegetation indexes product MOD13A1 from 2000 to 2006 were re-composited for forest mapping circa year 2000 in the region. The study region was divided into four sub-regions with distinct natural climate regimes,...
Land use is a kind of important form that affects environment, especially in big city. If land use is not appropriate, and that result will destroy ecological environment, lead to land resource wasting, and will cause socio-economic problems. So, information acquiring of urban land use is one of the key issues of city planning. That is to say, how to monitor, manage and treat information on land use...
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