Comparison of Advanced Pixel Based (ANN and SVM) and Object-Oriented Classification Approaches Using Landsat-7 Etm+ Data

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Provided by: Engg Journals Publications
Format: PDF
In this paper, the pixel-based and object-oriented image classification approaches were used for identifying different land use types in Karnal district. Imagery from Landsat-7 ETM with 6 spectral bands was used to perform the image classification. Ground truth data were collected from the available maps, personal knowledge and communication with the local people. In order to prepare land use map different approaches: Artificial Neural Network (ANN) and Support Vector Machine (SVM) were used. For performing object oriented classification eCognition software was used. During the object oriented classification, in first step several different sets of parameters were used for image segmentation and in second step nearest neighbor classifier was used for classification.
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