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SEGMENTATION OF 3D PHOTOGRAMMETRIC POINT CLOUD FOR 3D BUILDING MODELING
point clouds aerial photogrammetry segmentation classification 3D building reconstruction
2018/11/9
3D city modeling has become important over the last decades as these models are being used in different studies including, energy evaluation, visibility analysis, 3D cadastre, urban planning, change d...
PURIFICATION OF TRAINING SAMPLES BASED ON SPECTRAL FEATURE AND SUPERPIXEL SEGMENTATION
Beijing-2 Satellite imagery Training Samples Purification Spectral Feature Superpixel Segmentation
2018/5/14
Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on...
INDIVIDUAL ROCKS SEGMENTATION IN TERRESTRIAL LASER SCANNING POINT CLOUD USING ITERATIVE DBSCAN ALGORITHM
DBSCAN rocks segmentation terrestrial laser scanning fluvial transport
2018/6/5
The fluvial transport is an important aspect of hydrological and geomorphologic studies. The knowledge about the movement parameters of different-size fractions is essential in many applications, such...
Performance of parameter-domain and spatial-domain pole-like feature segmentation using single and multiple terrestrial laser scans
Terrestrial Laser Scanning Segmentation Registration Parameter-domain Spatial-domain
2014/7/30
Terrestrial laser scanning (TLS) systems have been established as a leading tool for the acquisition of high density three-dimensional point clouds from physical objects. The collected point clouds by...
AN ADAPTIVE APPROACH FOR SEGMENTATION OF 3D LASER POINT CLOUD
Segmentation Kd-tree data structure Adaptive cylinder neighbourhood Clustering attributes Octree space partitioning
2014/6/5
Automatic processing and object extraction from 3D laser point cloud is one of the major research topics in the field of photogrammetry. Segmentation is an essential step in the processing of laser po...
A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE
3D building Segmentation laser scanning roof reconstruction
2014/4/28
This paper is addressed to an approach for segmenting airborne laser scanning point cloud. It aims to detect and cluster point cloud of an input roof into several segments that are corresponding to pl...
Benefits of Using Decorrelated Color Information for Face Segmentation/Tracking
Benefits Decorrelated Color Information Face Segmentation Tracking
2009/5/19
We analyze in this paper the benefits that can be derived from employing color image alignment techniques in the context of face segmentation or tracking based on texture (defined as the patch of inte...
Efficient iris segmentation method with support vector domain description
iris segmentation local geometric moment
2011/5/6
With the aim to improve the performance of iris segmentation method to process images with heterogeneous characteristics, the authors introduce a new method inspired by the support vector domain descr...
Image segmentation based on fuzzy clustering with neighborhood information
image segmentation clustering fuzzy c-means
2011/5/6
In this paper, an improved fuzzy c-means (IFCM) clustering algorithm for image segmentation is presented. The originality of this algorithm is based on the fact that the conventional FCM-based algorit...
Network Segmentation and Design Algorithm for Large-Scale Optical Path Networks based on Traffic Distribution Information
Network Segmentation Design Algorithm Large-Scale Optical Path Networks Traffic Distribution Information
2015/8/3
We propose a network segmentation and design algorithm based on traffic distribution information.Numerical experiments demonstrated that the proposed algorithm can greatly reduce network cost.
Novel statistical approach for segmentation of brain magnetic resonance imaging using an improved expectation maximization algorithm
expectation maximization maximum likelihood magnetic resonance imaging (MRI)
2011/4/28
In this paper, an improved expectation maximization (EM) algorithm called statistical histogram based expectation maximization (SHEM) algorithm is presented. The algorithm is put forward to overcome t...