An Useful Information Extraction using Image Mining Techniques from Remotely Sensed Image (RSI)
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 8
Abstract
Information extraction using mining techniques from remote sensing image (RSI) is rapidly gaining attention among researchers and decision makers because of its potential in application oriented studies. Knowledge discovery from image poses many interesting challenges such as preprocessing the image data set, training the data and discovering useful image patterns applicable to many new application frontiers. In the image rich domain of RSI, image mining implies the synergy of data mining and image processing technology. Such culmination of techniques renders a valuable tool in information extraction. Also, this encompasses the problem of handling a larger data base of varied image data formats representing various levels of information such as pixel, local and regional. In the present paper, various preprocessing corrections and techniques of image mining are discussed.
Authors and Affiliations
Dr. C. Jothi Venkateswaran , S. Murugan , Dr. N. Radhakrishnan
Comparison and Study of AOMDV and DSDV Routing Protocols in MANET Using NS-2
A mobile ad hoc network (MANET) is a collection of wireless mobile nodes communicating with each other using multi-hop wireless. One of the main challenges of MANET is the design of robust routing algorithms that adapt t...
Classification of Incomplete Data Handling Techniques – An Overview
The task of classification with incomplete data is a complex phenomena and its performance depends upon the method selected for handling the missing data. Missing data occur in datasets when no data value is stored for a...
Minimizing weighted mean flow time in open shop scheduling with time-dependent weights and intermediate storage cost
Open shop scheduling problem is a common scheduling problem and has wide engineering applications in manufacturing. In some industrial cases, open shop scheduling could be a long scheduling problem as an aircraft product...
Building Personalized and Non Personalized Recommendation Systems
The contents of e-Commerce such as music, movies, books and electronics goods are necessary for a modern life style. But, it becomes difficult to find content according to users likes and users preference. An approach wh...
Comparison a Performance of Data Mining Algorithms (CPDMA) in Prediction Of Diabetes Disease
Detection of knowledge patterns in clinicial data through data mining. Data mining algorithms can be trained from past examples in clinical data and model the frequent times non-linear relationships between the independe...