Fuzzy-Based Satellite Image classification to find Greenery and Used Land

作者: N Suresh Kumar , S Margret Anouncia , M Prabu , None

DOI:

关键词:

摘要: This research work describes the region based approach for satellite image classification to extract Land use details agriculture in Vellore region. The objective is find Greenery and used lands of study area by classify imagery using Fuzzy-based supervised method spectral information an LANDSAT image. LANDSTSAT Image applied with improved processing technique get classification. segmented into regions decorrelation fuzzy fication process. fuzzyfication process also incorporates edge avoid intermixing sub-pixels remotely sensed images. particularly greenery land gives overview about this Program discusses several issues. First, remote sensing data sources other ancillary are presented. approaches preprocessing, i.e. clustering, segmentation, classification, correlations then introduced emphasis on algorithm development registration. Second, change detection most critical complex aspect Program. Third, changes derived from will be operationally used.

参考文章(8)
Offer Rozenstein, Arnon Karnieli, Comparison of methods for land-use classification incorporating remote sensing and GIS inputs Applied Geography. ,vol. 31, pp. 533- 544 ,(2011) , 10.1016/J.APGEOG.2010.11.006
Fei Yuan, Kali E Sawaya, Brian C Loeffelholz, Marvin E Bauer, None, Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing Remote Sensing of Environment. ,vol. 98, pp. 317- 328 ,(2005) , 10.1016/J.RSE.2005.08.006
Jixian Zhang, Yonghong Zhang, Remote sensing research issues of the National Land Use Change Program of China Isprs Journal of Photogrammetry and Remote Sensing. ,vol. 62, pp. 461- 472 ,(2007) , 10.1016/J.ISPRSJPRS.2007.07.002
Ni Guo, Xiaoping Wang, Dihua Cai, Jia Yang, Comparison and evaluation between MODIS vegetation indices in Northwest China international geoscience and remote sensing symposium. pp. 3366- 3369 ,(2007) , 10.1109/IGARSS.2007.4423566
Limin Yang, George Xian, Jacqueline M. Klaver, Brian Deal, Urban Land-Cover Change Detection through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data Photogrammetric Engineering and Remote Sensing. ,vol. 69, pp. 1003- 1010 ,(2003) , 10.14358/PERS.69.9.1003
Zhou Rui, Hu Yuanman, Li Yuehui, He Hongshi, Land Use Change Modeling and Predicting of Xinzhuang Town Based on CLUE-S Model international conference on intelligent computation technology and automation. ,vol. 2, pp. 581- 584 ,(2010) , 10.1109/ICICTA.2010.525
Juliane Huth, Claudia Kuenzer, Thilo Wehrmann, Steffen Gebhardt, Vo Quoc Tuan, Stefan Dech, Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification Remote Sensing. ,vol. 4, pp. 2530- 2553 ,(2012) , 10.3390/RS4092530
G. Saravana, Ankur Pandit, R Rout, Satish Kumar, Fuzzy-Based Sub-Pixel Classification of Satellite Imagery ,(2012)