IEEE Transactions on Pattern Analysis and Machine Intelligence
Line detection in digital pictures: a hypothesis prediction/verification pardigm
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting buildings in aerial images
Computer Vision, Graphics, and Image Processing
Detecting runways in complex airport scenes
Computer Vision, Graphics, and Image Processing
Extraction of Straight Lines in Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Active Testing Model for Tracking Roads in Satellite Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Filtering, Edge Detection, and Edge Tracing Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Finding of Main Roads in Aerial Images by Using Geometric-Stochastic Models and Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Extraction of Man-Made Objects from Aerial & Space Images
Automatic Extraction of Man-Made Objects from Aerial & Space Images
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Finding Line Segments by Stick Growing
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper presents an automatic algorithm to detect runways of the military airport in aerial images. Firstly, we design a model of runway based on its features. Then, we find the runway in a hypothesis and test paradigm. Hypotheses are formed by looking for instances of long rectangular shapes. Runway intensity and intensity contrast between the runway and background are used to verify our hypotheses. Finally, the hypothesis that is supported by verification is believed to be the runway. Many experiments demonstrate that this algorithm can find runways of a military airport effectively.