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The automatic extraction of man-made objects from remote sensing imagery is useful in many applications. This paper proposes an algorithm for extracting man-made objects automatically by integrating a...
Object detection and recognition from LiDAR (Light Detection And Ranging) data has been a research topic in the fields of photogrammetry and computer vision. Unlike point clouds collected in well-cont...
A new image fusion method of SAR, Panchromatic (Pan) and multispectral (MS) data is proposed. First of all, SAR texture is extracted by ratioing the despeckled SAR image to its low passapproximation, ...
In this paper we will revise the recent developments in the field of automatic object extraction for change detection and GIS update under different aspects: (1) level of automation; (2) available sen...
LiDAR technology provides two different kinds of data: elevation, obtained by differences in time of the emitted and received laser signal; and intensity, obtained by differences of reflected laser be...
This paper describes the fusion of information extracted from multispectral digital aerial images for land use classification. The proposed approach integrates spectral classification techniques and s...
The differential morphological profile (DMP) can be used for automated extraction of multi-scale urban features, such as buildings, shadows, roads, and other man-made objects. However, characterizatio...
Extraction of map objects such as roads, railroads, rivers and building boundaries from 1m resolution space images is one of the important research issue. Automation of this task is crucial for the s...
A new approach for object extraction from high-resolution satellite images is presented in this paper. The new approach integrates image fusion, multi-spectral classification, feature extraction and...
This paper deals with the state and with promising directions of automated object extraction for digital photogrammetric workstations (DPW). A review of the state of the art shows that there are only ...
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...
Very high resolution (VHR) DSMs (digital surface models) derived from stereo- or multi-stereo images from current VHR satellites like WorldView-2 or Pléiades can be produced up to the ground sampling ...
DIFFERENTIAL OBJECT EXTRACTION METHODS FOR AUTOMATED GIS UPDATES.
This paper is devoted to analyze and improve a recently introduced technique that may be applied to Digital Surface Models (DSMs) produced by different sensors (Interferometric SAR, for instance, or L...
Optical imagery such as high-resolution panchromatic or multispectral data, and SAR/INSAR data show different information about the imaged objects, and have different advantages and disadvantages when...

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