Advanced Image Processing Techniques for Land Feature Classification: Classification of Semi-Urban Land Use/ Land Cover Features in High Resolution RS Data - Softcover

Kumar T., Ashok

 
9783847324225: Advanced Image Processing Techniques for Land Feature Classification: Classification of Semi-Urban Land Use/ Land Cover Features in High Resolution RS Data
Softcover
ISBN 10: 3847324225 ISBN 13: 9783847324225
Verlag: LAP LAMBERT Academic Publishing, 2011

Inhaltsangabe

Since the traditional hard classifiers are parametric in nature and expect the data to follow a Gaussian distribution, they perform poorly on high resolution satellite images in which land features and classes exhibit extensive overlapping in spectral space. Further, integrating ancillary data like digital elevation model, slope, texture, contextual information, etc. into spectral bands is difficult in such classifiers, because ancillary data results in a non-Gaussian distribution of the resultant data. Hence, generating a satisfactory classified image from the higher spectral and spatial, and high-dimensional data is one of the present-day challenges in RS data analysis. This thesis is aimed at developing an advanced classification strategy by integrating a non-parametric J4.8 decision tree classification algorithm and a texture based image classification approach on a panchromatic sharpened IRS P-6 LISS-IV (2.5m) imagery. Attempt has also been made to provide answers through empirical studies to some of the dubious issues and contradictory findings in RS image classification with regard to image evaluation metrics, statistical feature selection criteria and border-effect.

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Über die Autorin bzw. den Autor

Dr. Ashok Kumar received the BE and ME degree in Electronics and Commn. and Ph.D by VTU, India, for his work on Advanced Image Processing Techniques and Algorithms for Classification of High Resolution RS Data. His subjects of interest are Image Processing, Communication Engg., Data Mining and Remote Sensing. He is in teaching for over 22 years.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3847324225
ISBN 13 
9783847324225
Einband
Taschenbuch
Anzahl der Seiten
260
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Verantwortliche Person
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