Settlement extraction in the North China Plain using Landsat and Beijing-1 multispectral data with an improved watershed segmentation algorithm

References

• Al-Khudhairy , D.H.A. , Caravaggi , I. and Glada , S. 2005 . Structural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques . Photogrammetric Engineering and Remote Sensing , 71 : 825 – 837 .
   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
• Bieniek , A. and Moga , A. 2000 . An efficient watershed algorithm based on connected components . Pattern Recognition , 33 : 907 – 916 .
   Web of Science ®Google Scholar
• Forster , B.C. 1985 . An examination of some problems and solutions in monitoring urban areas from satellite platforms . International Journal of Remote Sensing , 6 : 139 – 151 .
   Web of Science ®Google Scholar
• Gao , H. , Lin , W. , Xue , P. and Siu , W.C. 2006 . Marker-based image segmentation relying on disjoint set union . Signal Processing: Image Communication , 21 : 100 – 112 .
   Google Scholar
• Gong , P. 2006 . “ Information extraction ” . In Manual of Remote Sensing: Remote Sensing of Human Settlements , 3rd , Edited by: Ridd , M. and Renz , A. 275 – 334 . Bethesda, MD : American Society for Photogrammetry and Remote Sensing .
   Google Scholar
• Gong , P. and Howarth , P.J. 1990 . The use of structural information for improving land-cover classification accuracies at the rural-urban fringe . Photogrammetric Engineering and Remote Sensing , 56 : 67 – 73 .
   Web of Science ®Google Scholar
• Gong , P. and Howarth , P.J. 1992 . Frequency-based contextual classification and grey-level vector reduction for land-use identification . Photogrammetric Engineering and Remote Sensing , 58 : 423 – 437 .
   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
• Haris , K. , Efstratiadis , S.N. , Maglaveras , N. and Katsaggelos , A.K. 1998 . Hybrid image segmentation using watersheds and fast region merging . IEEE Transactions on Image Processing , 7 : 1684 – 1699 .
   PubMed Web of Science ®Google Scholar
• Jensen , J.R. and Toll , D.L. 1982 . Detecting residential land-use development at the urban fringe . Photogrammetric Engineering and Remote Sensing , 48 : 629 – 643 .
   Web of Science ®Google Scholar
• Malpica , N. , Ortuno , J.E. and Santos , A. 2003 . A multichannel watershed-based algorithm for supervised texture segmentation . Pattern Recognition Letters , 24 : 1545 – 1554 .
   Google Scholar
• Oapos-Callaghan , R.J. and Bull , D.R. 2005 . Combined morphological-spectral unsupervised image segmentation . IEEE Transactions on Image Processing , 14 : 49 – 62 .
   PubMedGoogle Scholar
• Osma-Ruiz , V. , Godino-Llorente , J.I. , Sanchez-Lechón , N. and Gómez-Vilda , P. 2007 . An improved watershed algorithm based on efficient computation of shortest paths . Pattern Recognition , 40 : 1078 – 1090 .
   Google Scholar
• Ridd , M. and Renz , A. , eds. 2006 . Manual of Remote Sensing: Remote Sensing of Human Settlements , 3rd , Bethesda, MD : American Society for Photogrammetry and Remote Sensing .
   Google Scholar
• Seto , K.C. and Fragkias , M. 2005 . Quantifying spatiotemporal patterns of urban land use changes with four cities of China with time series landscape metrics . Landscape Ecology , 20 : 871 – 888 .
   Web of Science ®Google Scholar
• Seto , K.C. , Kaufimann , R.K. and Woodcock , C.E. 2000 . Landsat reveals China's farmland reserves, but they're vanishing fast . Nature , 406 : 121
   PubMed Web of Science ®Google Scholar
• Shackelford , A.K. and Davis , C.H. 2003 . A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2354 – 2363 .
   Web of Science ®Google Scholar
• Shafarenko , L. , Petrou , M. and Kittler , J. 1997 . Automatic watershed segmentation of randomly textured color images . IEEE transactions on Image Processing , 6 : 1530 – 1544 .
   PubMedGoogle Scholar
• Stuckens , J. , Coppin , P.R. and Bauer , M.E. 2000 . Integrating contextual information with per-pixel classification for improved land cover classification . Remote Sensing of Environment , 71 : 282 – 296 .
   Web of Science ®Google Scholar
• Sun , H. , Yang , J. and Ren , M. 2005 . A fast watershed algorithm based on chain code and its application in image segmentation . Pattern Recognition Letters , 26 : 1266 – 1274 .
   Web of Science ®Google Scholar
• Vincent , L. and Soille , P. 1991 . Watersheds in digital spaces: an efficient algorithm based onimmersion simulations . IEEE Transactions on Pattern Analysis and Machine Intelligence , 13 : 583 – 598 .
   Web of Science ®Google Scholar
• Walker , J.S. and Briggs , J.M. 2007 . An object-oriented approach to urban forest mapping in Phoenix . Photogrammetric Engineering and Remote Sensing , 73 : 577 – 583 .
   Web of Science ®Google Scholar
• Wang , D. 1997 . A multiscale gradient algorithm for image segmentation using watershelds . Pattern Recognition , 30 : 2043 – 2052 .
   Google Scholar
• Wang , L. , Gong , P. and Biging , G.S. 2004 . Individual tree crown delineation and treetop detection in high spatial resolution aerial imagery . Photogrammetric Engineering and Remote Sensing , 70 : 351 – 367 .
   Web of Science ®Google Scholar
• Yu , Q. , Gong , P. , Clinton , N. , Biging , G. and Schirokauer , S. 2006 . Object-based detailed vegetation mapping using high spatial resolution imagery . Photogrammetric Engineering and Remote Sensing , 72 : 799 – 811 .
   Web of Science ®Google Scholar
• Zha , Y. , Gao , J. and Ni , S. 2003 . Use of normalized difference built-up index in automatically mapping urban areas from TM imagery . International Journal of Remote Sensing , 24 : 583 – 594 .
   Web of Science ®Google Scholar