Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data
Authors
Keywords
-
Journal
Remote Sensing
Volume 6, Issue 2, Pages 1347-1366
Publisher
MDPI AG
Online
2014-02-13
DOI
10.3390/rs6021347
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Feature Selection with theBorutaPackage
- (2015) Miron B. Kursa et al. Journal of Statistical Software
- Graph-Based Mapping of Urban Structure Types From High-Resolution Satellite Image Objects—Case Study of the German Cities Rostock and Erfurt
- (2013) Irene Walde et al. IEEE Geoscience and Remote Sensing Letters
- A graph-based algorithm to define urban topology from unstructured geospatial data
- (2013) J.-P. de Almeida et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests
- (2013) Haiyan Guan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data
- (2013) Hai Huang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective
- (2013) Damien Arvor et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery
- (2013) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Contextual classification of lidar data and building object detection in urban areas
- (2013) Joachim Niemeyer et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Delineation of Central Business Districts in mega city regions using remotely sensed data
- (2013) H. Taubenböck et al. REMOTE SENSING OF ENVIRONMENT
- Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota
- (2013) Jennifer Corcoran et al. Remote Sensing
- Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
- (2012) W. G. Touw et al. BRIEFINGS IN BIOINFORMATICS
- Automated Urban Analysis Based on LiDAR-Derived Building Models
- (2012) Diego Gonzalez-Aguilera et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
- (2012) Bernhard Höfle et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
- (2012) Markus Immitzer et al. Remote Sensing
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Object-oriented mapping of landslides using Random Forests
- (2011) André Stumpf et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of Automatic Building Detection Approaches Combining High Resolution Images and LiDAR Data
- (2011) Txomin Hermosilla et al. Remote Sensing
- Automatic detection of residential buildings using LIDAR data and multispectral imagery
- (2010) Mohammad Awrangjeb et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning
- (2009) M. Rutzinger et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Object based image analysis for remote sensing
- (2009) T. Blaschke ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas
- (2008) Yunhao Chen et al. ADVANCES IN SPACE RESEARCH
- Developing a modular hydrogeology ontology by extending the SWEET upper-level ontologies
- (2008) Ajay Tripathi et al. COMPUTERS & GEOSCIENCES
- Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles
- (2008) Shem Heiple et al. ENERGY AND BUILDINGS
- Fuzzy spatial relation ontology for image interpretation
- (2008) Céline Hudelot et al. FUZZY SETS AND SYSTEMS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started