Detecam: An Automated System for Change Detection in Bitemporal Images
نویسندگان
چکیده
Change detection is an important part of image interpretation and automated geographical data collection. There are several approaches to change detection, from image differencing to Principal Component Analysis. One of the techniques that offer best results is Iterative Principal Component Analysis (IPCA). In this paper we present some modifications to IPCA that improves its performance. In particular we show a new initialisation and a new model for the probabilistic density of pixel change. These modifications are integrated in the Detecam system that automates the detection of changes in aerial images. Experimental results for this approach are shown in several types of real images.
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