Landscape Pattern Mining using Machine Learning Intelligence
Journal Title: International Journal of Engineering and Techniques - Year 2015, Vol 1, Issue 3
Abstract
The complexity of landscape pattern mining is well stated due to its non-linear spatial image formation and inhomogeneity of the satellite images. Land Ex tool of the literature work needs several seconds to answer input image pattern query. The time duration of content based image retrieval depends on input query complexity. This paper focuses on designing and implementing a training dataset to train NML (Neural network based Machine Learning) algorithm to reduce the search time to improve the result accuracy. The performance evolution of proposed NML CBIR (Content Based Image Retrieval) method will be used for comparison of satellite and natural images by means of increasing speed and accuracy.
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