Object-based land cover change detection for cross-sensor images

References

• Ahlqvist , O. 2008 . Extending Post-Classification Change Detection Using Semantic Similarity Metrics to Overcome Class Heterogeneity: A Study of 1992 and 2001 U.S. National Land Cover Database Changes . Remote Sensing of Environment , 112 : 1226 – 1241 .
   Web of Science ®Google Scholar
• Benz , U. C. , Hofmann , P. , Willhauck , G. , Lingenfelder , I. and Heynen , M. 2004 . Multi-Resolution, Object-Oriented Fuzzy Analysis of Remote Sensing Data for GIS-Ready Information . ISPRS Journal of Photogrammetry and Remote Sensing , 58 : 239 – 258 .
   Web of Science ®Google Scholar
• Bins , L. S. , Fonseca , M. , Leila , G. , Eethal , G. J. and Mitsuo , F. 1996 . “ Satellite Imagery Segmentation: A Region Growing Approach ” . In Simpósio Brasileiro de Sensoriamento Remoto , Salvador , Bahia, Brazil : Imagem Multimidia, São Paulo. Proceedings, CD .
   Google Scholar
• Bontemps , S. , Bogaert , P. , Titeux , N. and Defourny , P. 2008 . An Object-Based Change Detection Method Accounting for Temporal Dependences in Time Series with Medium to Coarse Spatial Resolution . Remote Sensing of Environment , 112 : 3181 – 3191 .
   Web of Science ®Google Scholar
• Byrne , G. F. , Crapper , P. F. and Mayo , K. K. 1980 . Monitoring Land-Cover Change by Principal Component Analysis of Multitemporal Landsat Data . Remote Sensing of Environment , 10 : 175 – 184 .
   Web of Science ®Google Scholar
• Carlotto , J. M. 2009 . Effect of Errors in Ground Truth on Classification Accuracy . International Journal of Remote Sensing , 30 : 4831 – 4849 .
   Web of Science ®Google Scholar
• Clinton , N. E. , Ashley , H. , James , S. , Li , Y. and Gong , P. 2010 . Accuracy Measures for Object Based Image Segmentation Goodness . Photogrammetric Engineering & Remote Sensing , 76 : 289 – 299 .
   Web of Science ®Google Scholar
• Conchedda , G. , Durieux , L. and Mayaux , P. 2008 . An Object-Based Method for Mapping and Change Analysis in Mangrove Ecosystems . ISPRS Journal of Photogrammetry and Remote Sensing , 63 : 578 – 589 .
   Web of Science ®Google Scholar
• Coppin , P. , Jonckheere , I. , Nackaerts , K. , Muys , B. and Lambin , E. 2004 . Digital Change Detection Methods in Ecosystem Monitoring . A Review.” International Journal of Remote Sensing , 25 : 1565 – 1596 .
   Web of Science ®Google Scholar
• Cross , A. M. , Mason , D. C. and Dury , S. J. 1988 . Segmentation of Remotely-Sensed Images by a Split-And-Merge Process . International Journal of Remote Sensing , 9 : 1329 – 1345 .
   Web of Science ®Google Scholar
• Definiens . 2007 . Definiens Developer 7 User Guide , Munich .
   Google Scholar
• Deng , J. S. , Wang , K. , Deng , Y. H. and Qi , G. J. 2008 . PCA-Based Land-Use Change Detection and Analysis Using Multitemporal and Multisensor Satellite Data . International Journal of Remote Sensing , 29 : 4823 – 4838 .
   Web of Science ®Google Scholar
• Flanders , D. , Hall-Beyer , M. and Pereverzoff , J. 2003 . Preliminary Evaluation of eCognition Object-Based Software for Cut Block Delineation and Feature Extraction . Canadian Journal of Remote Sensing , 29 : 441 – 452 .
   Web of Science ®Google Scholar
• Foody , G. M. 2002 . Status of Land Cover Classification Accuracy Assessment . Remote Sensing of Environment , 80 : 185 – 201 .
   Web of Science ®Google Scholar
• Gong , P. , Marceau , D. and Howarth , P. J. 1992 . A Comparison of Spatial Feature Extraction Algorithms for Land-Use Mapping with SPOT HRV Data . Remote Sensing of Environment , 40 : 137 – 151 .
   Web of Science ®Google Scholar
• Hubert-Moy , L. , Cotonnec , A. , Le Du , L. , Chardin , A. and Perez , P. 2001 . A Comparison of Parametric Classification Procedures of Remotely Sensed Data Applied on Different Landscape Units . Remote Sensing of Environment , 75 : 174 – 187 .
   Web of Science ®Google Scholar
• Im , J. , Jensen , J. R. and Hodgson , M. E. 2008 . Optimizing the Binary Discriminant Function in Change Detection Applications . Remote Sensing of Environment , 112 : 2761 – 2776 .
   Web of Science ®Google Scholar
• Im , J. , Jensen , J. R. and Tullis , J. A. 2008 . Object-Based Change Detection Using Correlation Image Analysis and Image Segmentation . International Journal of Remote Sensing , 29 : 399 – 423 .
   Web of Science ®Google Scholar
• Jensen , J. R. 2000 . Remote Sensing of the Environment: An Earth Resource Perspective , Upper Saddle River , NJ : Prentice-Hall .
   Google Scholar
• Johnson , R. D. and Kasischke , E.S. 1998 . Change Vector Analysis . A Technique for the Multitemporal Monitoring of Land Cover and Condition.” International Journal of Remote Sensing , 19 : 411 – 426 .
   Web of Science ®Google Scholar
• Ju , J. , Gopal , S. and Kolaczyk , E. D. 2005 . On the Choice of Spatial and Categorical Scale in Remote Sensing Land Cover Characterization . Remote Sensing of Environment , 96 : 62 – 77 .
   Web of Science ®Google Scholar
• Ju , J. , Kolaczyk , E. D. and Gopal , S. 2003 . Gaussian Mixture Discriminant Analysis and Sub-Pixel Land Cover Characterization in Remote Sensing . Remote Sensing of Environment , 84 : 550 – 560 .
   Web of Science ®Google Scholar
• Karantzalos , K. and Argialas , D. 2006 . Improving Edge Detection and Watershed Segmentation with Anisotropic Diffusion and Morphological Levelings . International Journal of Remote Sensing , 27 : 5427 – 5434 .
   Web of Science ®Google Scholar
• Liu , Y. , Guo , Q. and Kelly , M. 2008 . A Framework of Region-Based Spatial Relations for Non-Overlapping Features and its Application in Object Based Image Analysis . ISPRS Journal of Photogrammetry and Remote Sensing , 63 : 461 – 475 .
   Web of Science ®Google Scholar
• Lu , D. , Mausel , P. , Brondc-Zio , E. and Moran , E. 2004 . Change Detection Techniques . International Journal of Remote Sensing , 25 : 2365 – 2401 .
   Web of Science ®Google Scholar
• Lucas , R. , Rowlands , A. , Brown , A. , Keyworth , S. and Bunting , P. 2007 . Rule-Based Classification of Multitemporal Satellite Imagery for Habitat and Agricultural Land Cover Mapping . ISPRS Journal of Photogrammetry and Remote Sensing , 62 : 165 – 185 .
   Web of Science ®Google Scholar
• Mallinis , G. , Koutsias , N. , Tsakiri-Strati , M. and Karteris , M. 2008 . Object-Based Classification Using Quickbird Imagery for Delineating Forest Vegetation Polygons in a Mediterranean Test Site . ISPRS Journal of Photogrammetry and Remote Sensing , 63 : 237 – 250 .
   Web of Science ®Google Scholar
• Ridd , M. K. and Liu , J. 1998 . A Comparison of Four Algorithms for Change Detection in an Urban Environment . Remote Sensing of Environment , 63 : 95 – 100 .
   Web of Science ®Google Scholar
• Tang , J. , Wang , L. and Zhang , S. 2005 . Investigating Landscape Pattern and its Dynamics in Daqing, China . International Journal of Remote Sensing , 26 : 2259 – 2280 .
   Web of Science ®Google Scholar
• Turner , B. L. , Skole , D. L. , Sanderson , S. , Fischer , G. , Fresco , L. and Leemans , R. 1995 . Land-Use and Land-Cover Change , Sweden : Science/Research Plan. Global Change Report .
   Google Scholar
• Van Der Sande , C. J. , De Jong , S. M. and De Roo , A. P. J. 2003 . A Segmentation and Classification Approach of IKONOS-2 Imagery for Land Cover Mapping to Assist Flood Risk and Flood Damage Assessment . International Journal of Applied Earth Observation and Geoinformation , 4 : 217 – 229 .
   Google Scholar
• Wang , L. , Gong , P. , Ying , Q. , Yang , Z. , Cheng , X. and Ran , Q. 2010 . Settlement Extraction in the North China Plain Using Landsat and Beijing-1 Multispectral Data with an Improved Watershed Segmentation Algorithm . International Journal of Remote Sensing , 31 : 1411 – 1426 .
   Web of Science ®Google Scholar
• Wang , Y. , Mitchell , B. R. , Nugranad-Marzilli , J. , Bonynge , G. , Zhou , Y. and Shriver , G. 2009 . Remote Sensing of Land-Cover Change and Landscape Context of the National Parks: A Case Study of the Northeast Temperate Network . Remote Sensing of Environment , 113 : 1453 – 1461 .
   Web of Science ®Google Scholar
• Wulder , M. A. , Butson , C. R. and White , J. C. 2008 . Cross-sensor Change Detection over a Forested Landscape: Options to Enable Continuity of Medium Spatial Resolution Measures . Remote Sensing of Environment , 112 : 796 – 809 .
   Web of Science ®Google Scholar
• Xu , Y. , Saber , E. and Tekalp , A. M. 2003 . Object Segmentation and Labeling by Learning from Examples . IEEE Transactions on Image Processing , 12 : 627 – 638 .
   PubMed Web of Science ®Google Scholar
• Yang , L. , Stehman , S. V. , Smith , J. H. and Wickham , J. D. 2001 . Thematic Accuracy of MRLC Land Cover for the Eastern United States . Remote Sensing of Environment , 76 : 418 – 422 .
   Web of Science ®Google Scholar
• Yuan , F. , Sawaya , K. E. , Loeffelholz , B. C. and Bauer , M. E. 2005 . Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing . Remote Sensing of Environment , 98 : 317 – 328 .
   Web of Science ®Google Scholar