Object-based change detection in high resolution image

American Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration

Volumn 1, Issue , 2006, Pages 518-522

  Hong, Gang ^a   Zhang, Yun ^a   Lavigne, Daniel A ^b  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER   (Canada)

Author keywords

Airborne; Change detection; High resolution; Spaceborne

Indexed keywords

AIRBORNE; AIRBORNE IMAGERY; CHANGE DETECTION; COMPARISON METHODS; CONSTANT IMPROVEMENT; HIGH RESOLUTION; HIGH RESOLUTION IMAGE; IMAGE CHARACTERISTICS; IMAGE PROCESSING AND ANALYSIS; LANDSAT; OBJECT BASED; POST CLASSIFICATION; SPACE-BORNE; SPATIAL RESOLUTION;

IMAGE PROCESSING; INFORMATION RETRIEVAL; INFORMATION SCIENCE; LEARNING ALGORITHMS; MILITARY PHOTOGRAPHY; OPTICAL DATA PROCESSING; PHOTOGRAMMETRY; REMOTE SENSING;

SIGNAL DETECTION;

EID: 84869049415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Carleer, A.P., O. Debeir, and E. Wolff (2005). Assessment of Very High Spatial Resolution Satellite Image Segmentations. Photogrammetric Engineering and Remote Sensing, 71(11): 1285-1294.
2. Opitz, D. (2003). An Automated Change Detection Method for Specific Features. Proceedings of the International ESRI User Conference Proceedings.
3. Singh, A. (1989). Digital Change Detection Techniques Using Remotely Sensed Data. International Journal of Remote Sensing. Vol. 10, No. 6, pp. 989-1003.
4. Visual Learning Systems. (2002). User Manual, Feature Analyst Extension for ArcView and ArcGIS. Visual Learning Systems, Inc., Missoula, MT.