247
Views
17
CrossRef citations to date
0
Altmetric
Original Articles

Segmentation of multispectral high-resolution satellite imagery based on integrated feature distributions

, &
Pages 1471-1483 | Published online: 30 Mar 2010

References

  • Baatz , M. and Schäpe , A. 2000 . “ Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation ” . In Angewandte Geographische Informationsverarbeitung XII , Edited by: Strobl , J. 12 – 23 . Heidelberg : Wichmann .
  • Chen , K.-M. and Chen , S.-Y. 2002 . Color texture segmentation using feature distributions . Pattern Recognition Letters , 23 : 755 – 771 .
  • Chen , Q.X. , Zhou , C.H. , Luo , J.C. and Ming , D.P. 2004 . Fast segmentation of high-resolution satellite images using watershed transform combined with an efficient region merging approach . Lecture Notes in Computer Science , 3322 : 621 – 630 .
  • Chen , Z. , Zhao , Z. , Gong , P. and Zeng , B. 2006 . A new process for the segmentation of high resolution remote sensing imagery . International Journal of Remote Sensing , 27 : 4991 – 5001 .
  • Gigandet , X. , Cuadra , M.B. , Pointet , A. , Cammoun , L. , Caloz , R. and Thiran , J.P. Region-based satellite image classification: method and validation . IEEE International Conference on Image Processing . Italy. Vol. 3 , pp. III – 832–5 . Genova
  • Hay, G.J. and Castilla, G., 2006, Object-based image analysis: strengths, weaknesses, opportunities and threats (swot) http://www.commission4.isprs.org/obia06/Papers/01_Opening%20Session/OBIA2006_Hay_Castilla.pdf (Accessed: 10 May 2007 ).
  • Hay , G.J. , Blaschke , T. , Marceau , D.J. and Bouchard , A. 2003 . A comparison of three image-object methods for the multiscale analysis of landscape structure . ISPRS Journal of Photogrammetry and Remote Sensing , 57 : 327 – 345 .
  • Hay , G.J. , Castilla , G. , Wulder , M.A. and Ruiz , J.R. 2005 . An automated object-based approach for the multiscale image segmentation of forest scenes . International Journal of Applied Earth Observation and Geoinformation , 7 : 339 – 359 .
  • Heikkila , M. and Pietikäinen , M. 2006 . A texture-based method for modeling the background and detecting moving objects . IEEE Transactions on Pattern Analysis and Machine Intelligence , 28 : 657 – 662 .
  • Hu , X. , Tao , C.V. and Prenzel , B. 2005 . Automatic segmentation of high-resolution satellite imagery by integrating texture, intensity and color features . Photogrammetric Engineering and Remote Sensing , 71 : 1399 – 1406 .
  • Lucieer , A. , Stein , A. and Fisher , P. 2005 . Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty . International Journal of Remote Sensing , 26 : 2917 – 2936 .
  • Mäenpää , T. 2003 . The local binary pattern approach to texture analysis-extensions and applications , Finland : Ph.D. Thesis, University of Oulu .
  • Ojala , T. and Pietikäinen , M. 1999 . Unsupervised texture segmentation using feature distributions . Pattern Recognition , 32 : 477 – 486 .
  • Ojala , T. , Pietikäinen , M. and Harwood , D. 1996 . A comparative study of texture measures with classification based on feature distributions . Pattern Recognition , 29 : 51 – 59 .
  • Ojala , T. , Pietikäinen , M. and Mäenpää , T. 2002 . Multiresolution gray-scale and rotation invariant texture classification with local binary patterns . IEEE Transactions on Pattern Analysis and Machine Intelligence , 24 : 971 – 987 .
  • Ojala, T., Pietikäinen, M. and Mäenpää, T., 2006, A generalized local binary pattern operator for multiresolution gray scale and rotation invariant texture classification http://www.ee.oulu.fi/research/imag/texture (Accessed: 10 May 2007 ).
  • Pesaresi , M. and Benediktsson , J.A. 2001 . A new approach for the morphological segmentation of high-resolution satellite imagery . IEEE Transactions on Geoscience and Remote Sensing , 39 : 309 – 320 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.