SFX by Ex Libris Inc.

Title:	A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data
Source:	Remote Sensing of Environment [0034-4257] Cao, Xin yr:2009

Basic

Sorry, no full text available...

Please use the document delivery service (see below)

Holding information

Holdings in library search engine ALBERT

Document delivery

Request document via Library/Bibliothek

Users interested in this article also expressed an interest in the following:
description	1.	Weng, Q. "Thermal infrared remote sensing for urban climate and environmental studies : Methods, applications, and trends." ISPRS journal of photogrammetry and remote sensing 64.4 (2009): 335-344.
description	2.	Griffiths, P. "Mapping megacity growth with multi-sensor data." Remote sensing of environment 114.2 (2010): 426-439.
description	3.	Potere, D. "Mapping urban areas on a global scale: which of the eight maps now available is more accurate?" International journal of remote sensing 30.24 (2009): 6531-6558.
description	4.	Mantero, P. "Partially Supervised classification of remote sensing images through SVM-based probability density estimation." IEEE transactions on geoscience and remote sensing 43.3 (2005): 559-570.
description	5.	Kanniah, K D. "Evaluation of Collections 4 and 5 of the MODIS Gross Primary Productivity product and algorithm improvement at a tropical savanna site in northern Australia." Remote sensing of environment 113.9 (2009): 1808-1822.
description	6.	Islam, Md S. "Environmental perception during rapid population growth and urbanization: a case study of Dhaka city." Environment, development and sustainability 16.2 (2013): 1-11.
description	7.	Voogt, J. "Effects of urban surface geometry on remotely-sensed surface temperature." International journal of remote sensing 19.5 (1998): 895-920.
description	8.	Yuan, F. "Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery." Remote sensing of environment 106.3 (2007): 375-386.
description	9.	ARTIS, David A. "SURVEY OF EMISSIVITY VARIABILITY IN THERMOGRAPHY OF URBAN AREAS." Remote sensing of environment 12.4 (1982): 313-329.
description	10.	SELLERS, P.J. J. "REMOTE-SENSING OF THE LAND-SURFACE FOR STUDIES OF GLOBAL CHANGE - MODELS, ALGORITHMS, EXPERIMENTS." Remote sensing of environment 51.1 (1995): 3-26.
description	11.	TATEM, AJ. "Assessing the accuracy of satellite derived global and national urban maps in Kenya." Remote sensing of environment 96.1 (2005): 87-97.
description	12.	Jeon, B. "Partially supervised classification using weighted unsupervised clustering." IEEE transactions on geoscience and remote sensing 37.2 (1999): 1073-1079.
description	13.	Rudel, Thomas K. "Agricultural intensification and changes in cultivated areas, 1970-2005." Proceedings of the National Academy of Sciences of the United States of America 106.49 (2009): 20675-20680.
description	14.	Angel, S. ""Seventeen Reasons Why the Squatter Problem Can't Be Solved"." Ekistics 41.242 (1976): 20-26.
description	15.	Trentin, E. "Unbiased SVM density estimation with application to graphical pattern recognition." Lecture notes in computer science 4669 (2007): 271-280.
description	16.	Bruzzone, L. "A neural-statistical approach to multitemporal and multisourceremote-sensing image classification." IEEE transactions on geoscience and remote sensing 37.3 (1999): 1350-1359.
description	17.	Lilburne, LR R. "The Scale Matcher: a procedure for assessing scale compatibility of spatial data and models." International journal of geographical information science 18.3 (2004): 257-279.
description	18.	Royer, A. "Urbanization and Landsat MSS albedo change in the Windsor-Québec corridor since 1972." International journal of remote sensing 9.3 (1988): 555-566.
description	19.	Murakami, A. "Trends in urbanization and patterns of land use in the Asian mega cities Jakarta, Bangkok, and Metro Manila." Landscape and urban planning 70.3-4 (2005): 251-259.
description	20.	Burges, C.J.C. C. "A Tutorial on Support Vector Machines for Pattern Recognition." Data mining and knowledge discovery 2.2 (1998): 121-167.