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Road traffic volume monitoring plays an important role in transportation planning and spatial development, particularly in urban areas. The high-resolution satellite imagery provides a new data source to detect vehicles. Meanwhile, Satellite image covers large areas instantaneously, providing a possibility for snapshotting road traffic conditions. In this paper, we proposed an approach based on watershed...
This paper proposes a novel object-oriented building extraction method based on fuzzy support vector machines (SVM). The choice to adopt an SVM classification technique is motivated by the high number of parameters derived from the feature-extraction phase, which requires a classifier suitable to the analysis of hyper-dimensional features spaces. This method can be divided into two different phases:...
In the change detection of remote sensing images, the brightness and colors need to be adjusted at first in order to make two images almost have the same radiation (relative radiometric normalization (RRN)). However, hazes in images often influence the effect of relative radiometric correction. In this paper, we proposed a new approach to detect and remove hazes from high-resolution panchromatic images...
Rapid development of urban area makes data update more often than ever. Building is an important element of geographical information. So, it is important to detect building changes in urban areas timely. This paper proposes a novel technique for building change detection based upon similarity calibration. In this paper, we define the types of building changes clearly, and introduce how to analyze...
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