IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 5,May 2012
Landuse Landcover Change Detection Using Remotely Sensed Data For Coimbatore District,INDIA
Full Text(PDF, )  PP.1249-1256  
: Land cover, high resolution, profusion information, multi-scale amalgamation, change detection, Remote sensing images.
Many innovative techniques can be used to create dramatic images of Land sat data combined with other kinds of remotely sensed or ground-based data. Digital elevation models (DEM) are especially useful in this regard. DEMs may be displayed as contour maps, block diagrams, or shaded-relief images. Possible combinations include.
1.Y.Babykalpana Supervised/Unsupervised Classification of LULC Using Remotely Sensed data, Paper-ID : iCIRET-0106, CiiT Internationals Journals-iCIRET-2010

2. Y.Babykalpana , Dr. K.ThanushKodi , Classification of LULC change detection using Remotely sensed data Coimbatore city , India ,Journal of Computing, Volume 2, Issue 5, May 2010.

3.Jifen Liu, Maoting Gao, “ An Unsupervised Classification Scheme Using PDDP method for network Intrusion Detection”, 978-0-7695-3497-8/08, IEEE transactions 2008,vol 8, pp. 658-662.

4.John Cipar,R.L.Wood, T.Cooley,” Testing an Automated Unsupervised Classification Algorithm with Diverse Land covers”, 1-4244-1212-9/07,IEEE Transactions 2007, vol.1, pp. 2589-2592.

5.LI.Jia-cun, QIAN Shao-meng, CHEN Xue,” Object Oriented Method of Land Cover Change Detection Approach Using High Spatial Resolution Remote Sensing Data”, vol 3, IEEE transactions 2003, pp. 3005-3007.

6.S.K.Srivastava,H.K.Singh, A.K.Sinha , “ Agriculture land estimation from Satellite Images Using Hybrid Intelligence: A case study on Meerut City”, IJCSKE, Vol 3, no1, Serials publications, Jan-June’09.

7.Thomas M.Liiesand, R.W.Kiefer, “ Remote sensing and Image Interpretation”, 4th edition, John Wiley & sons , Inc., pp. 473-488, 532-558.

8. Yokoyama, Kurosu T., SHI., and Fujita, M., 2001: Land use classification with textural analysis and the aggregation technique using multi-temporal JERS-1 L -band SAR images. International Journal of Remote Sensing, 22, No. 4, pp. 595 - 613.




12.http://books.google.co.in/books?id=JeDGn6Wmf1kC&pg= PA376&lpg=PA376&dq=clustering+techniques+in+dip

13. http://www.yale.edu/ceo/Projects/swap/landcover/Unsupervise d_classification.htm

Untitled Page