TY - JOUR AU - Jharna Majumdar AU - Lekshmi S. AU - B. Vanathy PY - 2007/11/01 Y2 - 2024/03/29 TI - Automatic Classification of Aerial Imagery JF - Defence Science Journal JA - DSJ VL - 57 IS - 6 SE - Aeronautical Systems DO - 10.14429/dsj.57.1816 UR - https://publications.drdo.gov.in/ojs/index.php/dsj/article/view/1816 AB - The 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. ER -