Very high resolution satellite and aerial images provide valuable information to researchers. With their availability, there has been much interest to extract man-made objects from such imageries. Among these, detection of objects such as buildings, road segments, and urban area boundaries play crucial roles especially for municipalities, government agencies, rescue teams, military, and other civil agencies. For a human expert, manually extracting this valuable information is tedious and prone to errors. Therefore, advanced object detection algorithms should be developed to detect objects from remotely sensed images automatically. This book provides some examples for these advanced algorithms, with particular emphasis on urban region, building and road detection topics.