Satellite Image Classification and Content-Base Image Retrieval Using Type-2 Fuzzy Logic
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: The detection of oceanic structures, such as upwelling’s or eddies, from satellite images has significance for marine environmental studies, coastal resource management, and ocean dynamics studies. There is a lack of tools that allow us to retrieve automatically relevant structures from large satellite image databases. This Paper focuses on the development and validation of a Content-Based Image Retrieval (CBIR) system to classify and retrieve oceanic structures from satellite images with improved accuracy. The image we obtain from http://oceancolor.gsfc.nasa.gov/, which give images from different satellite like Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS), or MEdium Resolution Imaging Spectrometer (MERIS). During the processing of satellite images, different types of imperfection (uncertainties, ambiguities and vagueness) can occur. These imperfections can involve the gray‐level intensities, the geometrical characteristics and relations among image objects, and the expert knowledge itself used to overcome these problems. The CBIR system includes several types of soft computing technologies, such as neural networks and fuzzy logic. An advantage of fuzzy logic approach is that the system can be more comprehensible to human users because fuzzy databases (DBs) manage a terminology close to natural languages. This system give retrieval of most relevant and typical oceanic structures, such as upwelling, eddies and wakes.
Authors and Affiliations
Prof. Anita Thengade , Shirish A. Agale
Auto Secured Text Monitor in Natural Scene Images
Abstract: Monitoring the text in content based images is an important task. An accurate and robust method to monitor texts in natural scene images. In this paper fast and effective decision tree algorithm (MSERs) is used...
Net Neutrality – A Look at the Future of Internet
Abstract: The Internet is an indispensable medium. The success story of Internet has evolved free from complex government regulation. But there is an increasing threat that Internet Service Providers (ISPs) will al...
Face Recognition System under Varying Lighting Conditions
Making recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical face recognition systems. Other recognition systems don’t nullify most of the lighting...
Comparative Analysis, Security Aspects & Optimization ofWorkload in Gfs Based Map Reduce Framework in Cloud System
Abstract: This paper discusses a propose cloud infrastructure that combines On-Demand allocation ofresources with improved utilization, opportunistic provisioning of cycles from idle cloud nodes to otherprocesses I...
A Novel Three-Dimensional Adaptive Localization (T-Dial)Algorithm for Wireless Sensor Networks
Abstract: Wireless Sensor Networks is one of the most important area of research. Over the time, WSN isexpanding its reach from scientific research and monitoring to industrial as well as military operations. With itsinc...