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There is a need to automate terrain feature mapping so that to make the process more objective and less time consuming by using proper feature extraction techniques. The objective of this study was ...
With the development of remote sensing technology, the spatial resolution, spectral resolution and time resolution of remote sensing data is greatly improved. How to efficiently process and interpret ...
With the improvement of remote sensing technology, the spatial, structural and texture information of land covers are present clearly in high resolution imagery, which enhances the ability of crop map...
For wide application of change detection with SAR imagery, current processing technologies and methods are mostly based on pixels. It is difficult for pixel-based technologies to utilize spatial chara...
Traditional pixel-based approaches are based exclusively on the grey value of pixel itself. Thereby only the spectral information is used for the classification. The situation becomes worse when ext...
The developments in the remote sensing technology have provided the use of high-resolution images for different purposes if possible. These images can be used for a study such as town planning where h...
In this paper a novel object-oriented change detection approach in multitemporal remote-sensing images is proposed. In order to improve post classification comparison (PCC) performance, we propose t...
A GENERAL OBJECT-ORIENTED SPATIAL TEMPORAL DATA MODEL.
RESEARCH ON OBJECT-ORIENTED THREE DIMENSIONAL DATA MODEL.
Landscapes are Complex Systems, which by their very nature necessitate a multiscale approach in their monitoring, modeling and management. To assess such broad extents, remote sensing technology is th...
A stereo system designed and used for the measurement of 3D-coordinates within metric stereo image pairs will be presented. First, the motivation for the development allowing to evaluate stereo images...
A method for the measurement of pipe systems from a collection of images is presented. A predefined library of parameterized object models defined by CSG trees is used to describe several types of pip...
The latest developments in remote sensing analysis software allow new ways of integrating satellite imagery with archive data from aerial photography. This paper shows how this integration is useful i...
High resolution satellite images are associated with large variance and thus, per pixel classifiers often result in poor accuracy especially in delineation of horticultural crops. In this context, obj...
Residential area detection is extremely important for supervision of rush-built and illegal construction behavior to protect arable land and basic farmland. Traditional manual recognition of illegal c...

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