An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images
Authors
Keywords
-
Journal
Journal of Sensors
Volume 2016, Issue -, Pages 1-17
Publisher
Hindawi Limited
Online
2016-01-07
DOI
10.1155/2016/9078364
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A method to detect earthquake-collapsed buildings from high-resolution satellite images
- (2013) Wenzhong Shi et al. Remote Sensing Letters
- Unsupervised change detection using fuzzyc-means and MRF from remotely sensed images
- (2013) Ming Hao et al. Remote Sensing Letters
- Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
- (2012) Begüm Demir et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Potential effects in multi-resolution post-classification change detection
- (2012) René R. Colditz et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Unsupervised Change Detection of Satellite Images Using Local Gradual Descent
- (2011) Zeki Yetgin IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Fuzzy-Topology-Integrated Support Vector Machine for Remotely Sensed Image Classification
- (2011) Hua Zhang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Supervised change detection in VHR images using contextual information and support vector machines
- (2011) Michele Volpi et al. International Journal of Applied Earth Observation and Geoinformation
- Large-scale monitoring of coppice forest clearcuts by multitemporal very high resolution satellite imagery. A case study from central Italy
- (2011) Gherardo Chirici et al. REMOTE SENSING OF ENVIRONMENT
- A comparison of time series similarity measures for classification and change detection of ecosystem dynamics
- (2011) S. Lhermitte et al. REMOTE SENSING OF ENVIRONMENT
- Object-based analysis and change detection of major wetland cover types and their classification uncertainty during the low water period at Poyang Lake, China
- (2011) Iryna Dronova et al. REMOTE SENSING OF ENVIRONMENT
- A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images
- (2010) Silvia Marchesi et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Sampling approaches for one-pass land-use/land-cover change mapping
- (2010) Zhi Huang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Change detection of an earthquake-induced barrier lake based on remote sensing image classification
- (2010) Min Xu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Neuro-fuzzy techniques for the classification of earthquake damages in buildings
- (2010) P.F. Alvanitopoulos et al. MEASUREMENT
- Segmentation and classification of hyperspectral images using watershed transformation
- (2010) Y. Tarabalka et al. PATTERN RECOGNITION
- Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques
- (2009) Y. Tarabalka et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Change detection and classification of land cover at Hustai National Park in Mongolia
- (2009) Uudus Bayarsaikhan et al. International Journal of Applied Earth Observation and Geoinformation
- Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge
- (2009) Mourad Bouziani et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
- (2008) G. Camps-Valls et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments
- (2008) Steven E. Sesnie et al. REMOTE SENSING OF ENVIRONMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now