Künye "Kahraman, F., İmamoğlu, M. & Ateş, H. F. (2016). Battle damage assessment based on self-similarity and contextual modeling of buildings in dense urban areas. Paper presented at the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 5161-5164. doi:10.1109/IGARSS.2016.7730345" Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering için listeleme
Toplam kayıt 1, listelenen: 1-1
-
Battle damage assessment based on self-similarity and contextual modeling of buildings in dense urban areas
(IEEE, 2016)Assessment of battle damages is significant both for tactical planning and for after-war relief efforts. In this study damaged buildings are detected using self-similarity descriptor in pre- and post-war satellite images. ...