Digital photogrammetry has emerged from the combination of analytical photogrammetry and digital image processing
and interpretation techniques. Methods like resampling, contrast enhancement and image matching already found their
way to many applications in photogrammetry. Other methods, like tree search, are less well known. This paper explores the
possibilities for using tree search methods to solve photogrammetric problems. It is shown that tree search methods can
be useful for line following and knowledge-based image analysis. Application of tree search methods to matching problems
is also possible. This application, however, requires fairly good image segmentations, which usually cannot be obtained for
aerial imagery.