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Built-up area marks the use of city construction land in the different periods of the development, the accurate extraction is the key to the studies of the changes of urban expansion. This paper studi...
The purpose of this paper is to provide decision support for the adjustment and optimization of crop planting structure in Jingxian County. The object-oriented information extraction method is used to...
The collapse of buildings during the earthquake is a major cause of human casualties. Furthermore, the threat of earthquakes will increase with growing urbanization and millions of people will be vuln...
Many engineers rely heavily on model-based design and control of complex cyber-physical systems. Of paramount importance is the ability to capture all central aspects of such systems in the models, in...
Change detection method is an efficient way in the aim of land cover product updating on the basis of the existing products, and at the same time saving lots of cost and time. Considering the object-o...
In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this...
The change detection of remote sensing images means analysing the change information quantitatively and recognizing the change types of the surface coverage data in different time phases. With the app...
A semi-automatic system for extracting topographic features is being migrated to an object-oriented design for better maintainability. For that purpose an object-oriented model of the extracted object...
Obtaining up-to-date spatial information about slum settlements is of great importance for decision making related to slum and housing policy. The availability of Very High Resolution (VHR) satellit...
Over the past decades, most of the remote sensing studies dealt with natural environment. The advance of remote sensing satellites and the innovative methods of proceeding high resolution images have ...
This paper deals with the assessment of social vulnerability (SV) as a critical component of comprehensive disaster risk assessment. Indicators for SV relate to aspects on different scales. Individual...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
Machine learning algorithms recently have made major advances, with decision tree classifiers gaining wide acceptance. Boosting and bagging of decision trees have added to the predictive capabilities ...
Sub-pixel based digital image classification outputs from coarse spatial resolution remote sensing images can be closer to ground information as compared to hard classification outputs. This hasbeen p...
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...

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