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POINT CLOUD SEGMENTATION AND SEMANTIC ANNOTATION AIDED BY GIS DATA FOR HERITAGE COMPLEXES
Point Cloud Segmentation Semantic GIS Heritage Complex Automation
2019/3/4
Point cloud segmentation is an important first step in categorising a raw point cloud data. This step is necessary in order to better manage the data and generate other derivative products, e.g. 3D GI...
ORTHOSEG: A DEEP MULTIMODAL CONVOLUTONAL NEURAL NETWORK ARCHITECTURE FOR SEMANTIC SEGMENTATION OF ORTHOIMAGERY
Deep Learning Supervised Image Segmentation Residual Networks
2018/11/19
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
BUILDING FOOTPRINT EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGERY USING SEGMENTATION
Segmentation Building Extraction Multi-Resolution Algorithm Rule-Based Feature Extraction High Resolution Satellite Imagery
2018/11/19
Identification and mapping of urban features such as buildings and roads are an important task for cartographers and urban planners. High resolution satellite imagery supports the efficient extraction...
SEGMENTATION OF 3D PHOTOGRAMMETRIC POINT CLOUD FOR 3D BUILDING MODELING
point clouds aerial photogrammetry segmentation classification 3D building reconstruction
2018/9/12
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...
AIRCRAFT SEGMENTATION IN SAR IMAGES BASED ON IMPROVED ACTIVE SHAPE MODEL
SAR target segmentation aircraft ISOMAP
2018/4/30
In SAR image interpretation, aircrafts are the important targets arousing much attention. However, it is far from easy to segment an aircraft from the background completely and precisely in SAR images...
PURIFICATION OF TRAINING SAMPLES BASED ON SPECTRAL FEATURE AND SUPERPIXEL SEGMENTATION
Beijing-2 Satellite imagery Training Samples Purification Spectral Feature Superpixel Segmentation
2018/4/30
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
2018/3/30
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...
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Deep Neural Networks Convolutional Neural Networks Semantic Segmentation Chest Radiography Tuberculosis
2017/5/15
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
Sweeping Line Multiple Instance Learning Paradigm Interactive Image Segmentation
2016/1/22
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
An Automatic Method Based on Gridding Segmentation for Trees' Classification in Forested Area
LIDAR Automatic Classification Gridding Segmentation
2015/12/8
In forestry applications, the great challenge is to automatically extract as much information as possible on forest structure, the vertical and horizontal distribution of vegetation, the delineation o...
Building Roof Segmentation and Modeling from LIDAR Point Clouds Using Machine Learning Techniques
LiDAR Building Reconstruction Segmentation Feature Extraction Clustering Data mining
2015/12/4
This paper presents an approach to creating a polyhedral model of building roof from LiDAR point clouds using clustering techniques. A building point cloud is first separated into planar and breakline...
Pre-classification of Points and Segmentation of Urban Objects by Scan Line Analysis of Airborne LIDAR data
Laser scanning LiDAR airborne remote sensing on-line processing
2015/12/4
Currently available laser scanners are capable of performing hundreds of thousands of range measurements per second at a range resolution of a few centimeters. Despite that increasing performance, up ...
3D Segmentation of Full Waveform LIDAR Data for Single Tree Detection Using Normalized Cut
LIDAR Segmentation Aerial Survey Clustering Forestry
2015/12/4
The study highlights a novel method to segment single trees in 3D from dense airborne full waveform LIDAR data using the normalized cut segmentation. The key idea is to subdivide the tree area in a vo...
TORCH:A Design Tool for Routing Channel Segmentation in FPGAs
FPGA segmentation routing architecture design
2015/8/17
TORCH:A Design Tool for Routing Channel Segmentation in FPGAs.
Segmentation Stability: a Key Component for Joint Attention
joint attention image segmentation stability score Talking Robots experiment
2015/8/3
Segmentation Stability: a Key Component for Joint Attention.