Automatic Classification of Aerial Imagery
Keywords: Aerial imagery, automatic image classifier, image information, surveillance, image processingalgorithms, image classification
AbstractThe aerial imagery obtained from reconnaissance platform is voluminous and the defenceforces rely on image information to perform intelligent tasks. The application of a welldesigned automatic image classifier would enhance the end results of different high levelapplications thereby abridging the effort of a human analyst. Automatic image classifierscould be designed using a training data set for supervised learning or using an unsupervisedlearning. In this paper, a method, which combines both unsupervised and supervised methodsof learning is proposed.
How to Cite
Majumdar, J., S., L., & Vanathy, B. (2007). Automatic Classification of Aerial Imagery. Defence Science Journal, 57(6), 773-778. https://doi.org/10.14429/dsj.57.1816
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