Title :
The Development of Artificial Immune System in Topographic Facet
Author :
Das, Bidisha ; Kumari, Preeti ; Jindal, Rachna ; Rameshwari, Rashmi
Author_Institution :
Dept. of Comput. Eng., Delhi Technol. Univ., Delhi, India
Abstract :
This paper explores artificial immune system in feature extraction mechanism. Certain important features like robustness, dynamic, adaptive, error tolerant, distributive are key features of natural immune system. These features have a detailed description. We have used adaptive immune system to develop this extraction method successfully. The terrain has several facets such as water, vegetation, urban, denseurban, barren and many more. This paper attempted to identify all these features inSaharnpur area of Uttar Pradesh region of India. Among all the natural immune system, clonal selection theory mostly correlates with feature extraction. Even we have defined certain parameters of artificial immune system in terms of feature extraction. In addition to parameter´s definition, an algorithm has been proposed. The algorithm is applied to Saharanpur region of 916×569 dimension. The KHAT statistics shows that the proposed algorithm has an efficiency of 0.7649.
Keywords :
artificial immune systems; feature extraction; adaptive immune system; artificial immune system; feature extraction; natural immune system; topographic facet; Accuracy; Adaptive systems; Correlation; Feature extraction; Immune system; Pixel; Vegetation mapping;
Conference_Titel :
Process Automation, Control and Computing (PACC), 2011 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-61284-765-8
DOI :
10.1109/PACC.2011.5978986