Object-oriented classification of Landsat ETM+ satellite image
نویسندگان
چکیده
منابع مشابه
Comparison of Pixel-based and Object-oriented Classification Approaches Using Landsat-7 Etm Spectral Bands
In this study, land cover types in Zonguldak test area were analysed on the basis of the classification results acquired using the pixelbased and object-oriented image analysis approaches. Landsat-7 ETM with 6 spectral bands was used to carry out the image classification and ground truth data were collected from the available maps, aerial photographs, personal knowledge and communication with t...
متن کاملAnalysis of Object-oriented Classification Results Derived from Pan-sharpened Landsat 7 Etm+ and Aster Images
In this study, performance of object-oriented classification approach has been tested using medium resolution satellite dataset of Zonguldak testfield. For this purpose, Landsat 7 ETM+ and ASTER images were used because of their nearly similar ground sampling distance (GSD). As a first step, pan-sharpened images were created based on the combination of panchromatic and color bands available in ...
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Extended abstract 1- Introduction The process of identifying landforms is a subject that has been researched by many researchers. All the definitions of geomorphology emphasize the study and identification of landforms. Understanding landforms and how they are distributed are some sort of essential requirements in applied geomorphology and other environmental sciences (Shayan et al., 2012). O...
متن کاملGaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach
International Journal of Remote Sensing Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713722504 Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach C. Zhang a; W. Li a; D. Travis b a Department of Geography, Kent State University, b Department of Geography and Geology, Universit...
متن کاملSatellite image classification methods and Landsat 5TM bands
This paper attempts to find the most accurate classification method among parallelepiped, minimum distance and chain methods. Moreover, this study also challenges to find the suitable combination of bands, which can lead to better results in case combinations of bands occur. After comparing these three methods, the chain method over perform the other methods with 79% overall accuracy. Hence, it...
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ژورنال
عنوان ژورنال: Journal of Water and Land Development
سال: 2006
ISSN: 2083-4535,1429-7426
DOI: 10.2478/v10025-007-0008-4