Kaibin Zong

Learn More
Map databases usually suffer from obsolete scene details due to frequently occurring changes, therefore automatic change detection has become vital. Recently, researchers have explored change detection by combining high resolution images with airborne lidar data to overcome the disadvantages of using images alone. However, multiple correlations between(More)
Map databases usually suffer from obsolete scene details due to frequently occurring changes, therefore automatic change detection has become vital. Previous research has demonstrated that Markov random field (MRF) is an effective method for image classification, in which both per pixel features and contextual relations between neighbouring points are(More)
  • 1