The Extraction of Water Based on Texture Features Form Remote Sensing Information

Autor:	Kun Pang, Wen Bin Xie, Zhi Gang Ao, Song Huang, Guo Qin Qiu
Rok vydání:	2012
Předmět:	Computer science business.industry Extraction (chemistry) General Engineering Wavelet transform Pattern recognition Water extraction Texture (geology) Water based Remote sensing (archaeology) Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence business Remote sensing
Zdroj:	Advanced Materials Research. :1444-1447
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.546-547.1444
Popis:	Take the SPOT remote sensing images for a district in June 2009 as study object, using the texture feature methods based on the wavelet transform to the extraction for image water information, the results show that: The introduction of the wavelet transform and the edge of the restrictions to the the split of waters , can effectively extract and classify different colors, types of water bodies .
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bb3ec42b64d6d45fd64470f2522bd6ef https://doi.org/10.4028/www.scientific.net/amr.546-547.1444 Zobrazit plný text záznamu