Special Issue "Object-Based Image Analysis"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 July 2011)
Dr. Stefan Lang
Centre for Geoinformatics, University of Salzburg, Schillerstr. 30, Building XV, 3rd floor, 5020 Salzburg, Austria
Interests: object-based image analysis (OBIA); geomonitoring and geons; integrated spatial indicators; knowledge representation; policy support; GMES
Object-based image analysis (OBIA) has emerged over the last years from integrating geospatial concepts and advanced image analysis techniques. Spatial properties like size and form, neighborhood and context, scale and hierarchy, are utilized for better exploit imagery and other image-like continuous data. In parallel, advances in sensor technology and new processing methods (e.g. grid computing) has strongly supported the maturing of OBIA making it an established approach for image understanding.
OBIA conceptually utilizes two interrelated methodological pillars for effectively handling the complexity of recent highest resolution imagery. These are: (1) segmentation / regionalization for image object delineation and providing scaled and hierarchical representations; (2) advanced classifiers reflecting the interaction between spectral and spatial properties by either using learning algorithms or making these explicit in transferable rule sets. The term image analysis (instead of image classification) is used to stress that the process of OBIA is iterative and cyclic.
Today, driven by international programmes and initiatives like GEO or GMES, the provision of imagery should no longer a bottle-neck per se (leaving aside specific requirements such as real time provision, particular detail or atmospheric conditions). The bigger challenge, instead, is the information extraction and the provision of added-value products with constant quality and reliability, high transferability and re-usability of algorithm and rule sets, and clear validation concept.
This special issue asks for papers that serve a growing scientific community interested in OBIA. Particular topics include: critical assessments of commercial software applications; new developments with potential of operational use; methodological and conceptual achievements for object-based change detection; and object validation and addressing complex (composite) classes.
Dr. Stefan Lang
- advanced classifiers
- scaled representation
Article: Spectral Difference in the Image Domain for Large Neighborhoods, a GEOBIA Pre-Processing Step for High Resolution Imagery
Remote Sens. 2012, 4(8), 2294-2313; doi:10.3390/rs4082294
Received: 19 June 2012; in revised form: 26 July 2012 / Accepted: 30 July 2012 / Published: 7 August 2012| Download PDF Full-text (2102 KB) | View HTML Full-text | Download XML Full-text
Article: A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories
Remote Sens. 2012, 4(5), 1310-1336; doi:10.3390/rs4051310
Received: 29 March 2012; in revised form: 27 April 2012 / Accepted: 28 April 2012 / Published: 7 May 2012| Download PDF Full-text (8645 KB) | View HTML Full-text | Download XML Full-text
Article: Comparison of Object-Based Image Analysis Approaches to Mapping New Buildings in Accra, Ghana Using Multi-Temporal QuickBird Satellite Imagery
Remote Sens. 2011, 3(12), 2707-2726; doi:10.3390/rs3122707
Received: 19 October 2011; in revised form: 9 December 2011 / Accepted: 9 December 2011 / Published: 16 December 2011| Download PDF Full-text (2249 KB)
Article: An Object-Based Classification of Mangroves Using a Hybrid Decision Tree—Support Vector Machine Approach
Remote Sens. 2011, 3(11), 2440-2460; doi:10.3390/rs3112440
Received: 20 September 2011; in revised form: 8 November 2011 / Accepted: 10 November 2011 / Published: 17 November 2011| Download PDF Full-text (1985 KB)
Remote Sens. 2011, 3(11), 2420-2439; doi:10.3390/rs3112420
Received: 20 September 2011; in revised form: 9 November 2011 / Accepted: 10 November 2011 / Published: 16 November 2011| Download PDF Full-text (1984 KB)
Article: Machine Learning Comparison between WorldView-2 and QuickBird-2-Simulated Imagery Regarding Object-Based Urban Land Cover Classification
Remote Sens. 2011, 3(10), 2263-2282; doi:10.3390/rs3102263
Received: 19 August 2011; in revised form: 14 October 2011 / Accepted: 14 October 2011 / Published: 21 October 2011| Download PDF Full-text (4467 KB)
Article: Automatic Geographic Object Based Mapping of Streambed and Riparian Zone Extent from LiDAR Data in a Temperate Rural Urban Environment, Australia
Remote Sens. 2011, 3(6), 1139-1156; doi:10.3390/rs3061139
Received: 12 April 2011; in revised form: 5 May 2011 / Accepted: 17 May 2011 / Published: 30 May 2011| Download PDF Full-text (1800 KB)
Last update: 4 March 2014