Access to SPIE eBooks is limited to subscribing institutions. Access is not available as part of an individual subscription. However, books can be purchased on SPIE.Org
Chapter 6:
Information Fusion Levels
Abstract
Image fusion is a special case of information fusion, which more generally finds applications in situation analysis and decision making. If data are collected as signals quantized in pixels, an image comprises 2D pixels arranged as a picture. As shown in Fig. 6.1, typical information fusion methods are dependent on where fusion is located in the processing chain. Image fusion techniques can be organized at different levels such as signal (from the sensor), feature (transformed), score (probability [not shown in the figure]), or decision (binary). Figure 6.1 illustrates how the processes are the same, i.e., data association, feature extraction, and decision declaration, but the difference is the order in which the processes take place and where they occur, i.e., at a level of individual sensor processing or at a central fusion location.
Online access to SPIE eBooks is limited to subscribing institutions.
CHAPTER 6
23 PAGES


SHARE
Back to Top