Remote sensing change detection in Urban environments

Geo-Spatial Technologies in Urban Environments (Second Edition): Policy, Practice, and Pixels

Volumn , Issue , 2007, Pages 7-31

  Jensen, John R ^a   Im, Jungho ^a  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77954407984     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-69417-5_2     Document Type: Chapter

References (18)

1. Baltsavias EP (1999) Airborne Laser Scanning: Basic Relations and Formulas. ISPRS Journal of Photogrammetry & Remote Sensing 54:199-214
2. th Ed. Bethesda: ASP&RS 629-636
3. Chan JC, Chan K, Yeh AG (2001) Detecting the Nature of Change in an Urban Environment: a Comparison of Machine Learning Algorithms. Photogrammetric Engineering & Remote Sensing 67(2):213-225
4. Collins JB, Woodcock CE (1996) An Assessment of Several Linear Change Detection Techniques for Mapping Forest Mortality Using Multitemporal Landsat TM Data. Remote Sensing of Environment 56:66-77
5. Coppin PR, Bauer ME (1996) Digital Change Detection in Forest Ecosystems with Remote Sensing Imagery. Remote Sensing Reviews 13:207-234
6. Flood M, Gutelius B (1997) Commercial Implications of Topographic Terrain Mapping Using Scanning Airborne Laser Radar. Photogrammetric Engineering & Remote Sensing 63:327
7. Garcia-Quijano M (2006) Claycap Anomaly Detection using Hyperspectral Remote Sensing and Lidargrammetric Techniques. Ph.D. Dissertation, Department of Geography, University of South Carolina, 141 p.
8. Garcia-Quijano M, Jensen JR, Hodgson ME, Hadley BC, Gladden JB, Lapine LA (2006) Significance of Altitude and Posting-density on Lidar-derived Elevation Accuracy on Hazardous Waste Sites. Photogrammetric Engineering & Remote Sensing in press.
9. Im J, Jensen JR (2005). A Change Detection Model Based on Neighborhood Correlation Image Analysis and Decision Tree Classification. Remote Sensing of Environment 99:326-340
10. Jensen JR (2005) Introductory Digital Image Processing. 3rd Ed. Upper Saddle River NJ: Prentice Hall 526 p.
11. nd Ed. Upper Saddle River NJ: Prentice Hall 592 p.
12. Jensen JR, Garcia-Quijano M, Im J, Hadley BC, Gladden JB (2006) Development of a Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site Monitoring. Photogrammetric Engineering & Remote Sensing in review
13. Jensen JR, Rutchey K, Koch M, Narumalani S (1995) Inland Wetland Change Detection in the Everglades Water Conservation Area 2A Using a Time Series of Normalized Remotely Sensed Data. Photogrammetric Engineering & Remote Sensing 61(2):199-209
14. Lu D, Mausel P, Brondizio E, Moran E (2004) Change Detection Techniques. International Journal of Remote Sensing 25(12):2365-2407
15. Leonard J (2005) Technical Approach for LIDAR Acquisition and Processing. Frederick MD: EarthData Inc. 20 p.
16. Maune DF (Ed.) (2001) Digital Elevation Model Technologies and Applications: The DEM Users Manual. Bethesda: ASP&RS 1151 p.
17. Mikhail EM, Bethel JS, McGlone JC (2001) Introduction to Modern Photogrammetry. NY: John Wiley 479 p.
18. Quinlan JR (2003) Data Mining Tools See5 and C5.0. St. Ives NSW Australia: RuleQuest Research http://www.rulequest.com/see5-info.html