Building change detection from very-high-resolution (VHR) urban remote sensing image frequently encounter the challenge of serious false alarm caused by different illumination or viewing angles in bi-temporal images. An approach to alleviate the false alarm in urban building change detection is proposed in this paper. Firstly, as shadows casted by urban buildings are of distinct spectral and sh...

natural hazards in the form of floods, quakes, cyclones, and the like have existed since the earth has come to being. in recent decades, in spite of scientific and technological developments in forecasting incidents, building construction and crisis management have imposed heavy expenses on human societies. the importance of many natural hazards is so great that to predict the very occurrence a...

Considering the purpose of change detection task, this paper extracts the urban area from the filtered co-registered original image with the method based on variogram first. Then, it takes advantage of generalized Gamma model to fit SAR images, in order to gain the characteristics information, such as radiation value, local texture, etc, because of the clutter statistical characteristics of SAR...

This paper presents a novel multi-sensor image fusion algorithm, which extends pan-sharpening of multispectral (MS) data through intensity modulation to the integration of MS and SAR imagery. The method relies on SAR texture, extracted by ratioing the despeckled SAR image to its lowpass approximation. SAR texture is used to modulate the generalized intensity (GI) of the MS image, which is given...

The paper presents an integrative approach to 3D modelling of complex scenes of determinate objects. The key characteristics of the proposed data model are support of 3D geometry and topology for extended spatial analysis, and facilitating interactive visualisation. The model supports the four geometric abstractions of spatial objects, i.e. point, line, surface and body. The representation base...

The classification of remotely sensed images knows a large progress taking into consideration the availability of images with different resolutions as well as the abundance of classification’s algorithms. SVMs (Support Vector Machines) are a group of supervised classification algorithms that have been recently used in the remote sensing field, a number of works have shown promising results by t...

The paper explores a framework combining remote sensing and spatial metrics aimed at improving the analysis and modeling of urban growth and land use change. While remote sensing data have been used in urban modeling and analysis for some time, the proposed combination of remote sensing and spatial metrics for that purpose is quite novel. Starting with a review of recent developments in each of...

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This paper presents an approach for recognizing urban scene in distant views. Previously, we have developed a method using dynamic programming technique to recognize key buildings appearing as silhouette in a distant view. Based on those locations of buildings in silhouette, this paper develops a method to find locations of other buildings which do not appear as silhouette in the image by using...