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Residential areas show plenty of texture information on high resolution remotely sensed imagery. Appropriate description about this texture information for discriminating residential class and its bac...
With the advent of digital sensor, the requirement for new Photogrammetric software is urgent to quick object information extraction from high-resolution stereo pairs. This paper describes an effectiv...
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...
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...
Bayesian methods coupled with Markovian frameworks has several applications in remote sensing images processing, such as the pixel level applications like filtering, segmentation and classification, a...
This paper addresses the issue of extracting main and secondary road networks in dense urban areas from very high resolution (VHR, ~0.61m) satellite images. The difficulty with secondary roads lies in...
The explication of the semantics of geospatial concepts is a crucial research priority which affects various aspects of information representation, formalization, integration, and exchange. The aim of...
Recent developments in sensor technology make possible Earth observational remote sensing systems with high spectral resolution and data dimensionality. As a result, the flow of data from satellite-...
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...
or quickly populating GIS database, it is important to derive accurate and truly road information from imagery. In this paper, we describe the problem of urban road extraction from digital imagery u...
In this paper, we present work on automatic road extraction from high resolution aerial imagery taken over urban areas. In order to deal with the high complexity of this type of scenes, we integrate ...
This paper proposes a method of objects extraction based high and color texture features. Trees or forests are interested objects in this paper, which are higher than their surroundings. According t...
Extraction of urban land is one of the necessary process in the change detection of urban growth. This Paper build a unified conceptual model to make the extraction more effectively and accurately bas...

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