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The current methods of object segmentation and extraction and classification of aerial LiDAR data is manual and tedious task. This work proposes a technique for object segmentation out of LiDAR data. ...
This paper presents a Synthetic Aperture Radar (SAR) image segmentation approach with unknown number of classes, which is based on regular tessellation and Reversible Jump Markov Chain Monte Carlo (RJ...
With the characteristics of LIDAR system, raw point clouds represent both terrain and non-terrain surface. In order to generate DTM, the paper introduces one improved filtering method based on the seg...
Segmentation of 3D data (some time 4D data) is a very challenging problem in applications exploiting Marine GIS data. To tackle this problem, this paper proposes a topological approachbased on the Dig...
Based on the character of Lidar data,this paper presents a fusion arithmetic to abstract DEM,and presents a flow to get building data from the object data. Firstly, this paper preprocesses the range i...
In this paper, we will investigate techniques for the combination of image fusion and segment based image analysis. We describe a color preserving iconic fusion with subsequent segmentation and classi...
This article presents an automatic methodology for extraction of road segments from high-resolution aerial images. The method is based on a set of four road objects and another set of connection rule...
The primary mirror segment aberrations after shape corrections with warping harness have been identified as the single largest error term in the Thirty Meter Telescope (TMT) image quality error...
Interactive methods are well suited to telerobotics purposes. Based on the super-imposition of the model on video images,they provide a friendly way to acquire or update the environment model from an ...
Various land applications require an image or image series to be divided into segments corresponding to areas of homogeneous land use. Image segmentation is needed to generate and update such GIS-stor...
This paper investigates into the added value of color information for edge extraction and straight edge segment matching between stereo views. For edge extraction in color images different methods pro...
This paper presents a strategy for matching features in multiple images, which emphasises reliable matching and the recovery of feature extraction errors. The process starts from initial ‘good’ matche...
Recently, we have developed a probabilistic framework for segmentbased speech recognition that represents the speech signal as a network of segments and associated feature vectors [2]. Although in gen...
This paper describes a method that aims to find all instances of a certain object in Mobile Laser Scanner (MLS) data. In a userassisted approach, a sample segment of an object is selected, and all sim...
This work examines protection of multicast sessions in optical networks utilizing a novel segment-based algorithm called Level Protection. Our proposed scheme exhibits improved performance compared to...

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