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The Kobe earthquake in 1995 demonstrated an urgent need of developing a change detection mapping system of buildings with high temporal accuracy to save people from damaged buildings. An airborne lase...
Based on the self-characteristic of digital watermarking techniques and the multi-statistic theory, this paper makes a research on the watermark autocorrelation detection. First, the setting of detect...
This paper supposes a schema to deal with the tough task of building detection and recognition from high resolution remotely sensed imagery. It is a region-based and semi-automatic schema combining wi...
Model-free image segmentation approaches for automatic building detection, usually fail to detect accurately building boundaries dueto shadows, occlusions and other low level misleading information. I...
Airborne laser scanning technology is primarily perceived as a means for gathering detailed three-dimensional information about the surface and objects on it. It is therefore not surprising that the m...
The systematic analysis of corrosion damage on cultural heritage objects is an aspect of multidisciplinary interest. The application of computer-aided approaches in corrosion control has recently beco...
Photointerpretation of geologic lineaments is a subjective process. Therefore there is a need for automation of lineament mapping using optimal edge detection techniques. Efforts made in this direct...
As the initial investigation on disaster occurrence, it is very important for reducing economical losses to obtain timely observation of damages especially in metropolis. In such situation, informat...
The paper presents a novel artificial neural network type, which is based on the learning rule of the Kohonen-type SOM model. The developed Self-Organizing Neuron Graph (SONG) has a flexible graph s...
The paper presents an original method for object detection. The “texture” Hough transform is used as the main tool in the search. Unlike classical generalized Hough transform, this variation uses te...
The objective of this study is to automatically detect changed areas caused by natural disasters from bi-temporal co-registered and calibrated TerraSAR-X data. The technique in this paper consists o...
This paper proposes a method for outlier detection in recovery of projective shape and motion from multiple images by factorization of a matrix containing the images of all scene points. Compared to ...
All entities in an urban environment such as buildings, parks, roads etc. are changing more or less over time. A seamless documentation of these changes in a spatiotemporal city model may require extr...
Object-based change detection has been the hotspot in remote sensing image processing. Mean shift procedure, a non-parametric feature space analysis technique, is elaborated and used to segment images...

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