Object-space-based interactive extraction of manmade object from aerial images

Xiangyun Hu; Zuxun Zhang; Jianqing Zhang

doi:10.1117/12.441661

24 September 2001 Object-space-based interactive extraction of manmade object from aerial images

Xiangyun Hu, Zuxun Zhang, Jianqing Zhang

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441661
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

In this paper, the concept of 'interactive extraction' is discussed. A practical semiautomatic system should attend four factors: correctness, robustness, accuracy and interactivity. The paper mainly specifies the adjustment model of object-space based interactive extraction of manmade object from aerial image pair. Through the input points that donate the rough position of the object, it is matched with the object model by the least square template matching, so the corrected parameters describe the object and the coordinates of the object are acquired in object-space directly. A linear object can be described as a sample line in object-space. By matching the edge or road profile template with the initial input curve, it is derived that the adjustment model which expresses the correction of the curve parameters as the erroneous equations between the gray level of the pixel and the best-matched template. To evaluate the ground coordinates of the building corners, the adjustment model is defined as straight edge matching with object-space based geometric constraints. The object-space based geometric model is a flexible framework of extraction of manmade object from space image. The experimental results indicate that the method is ready for practical production.

Citation Download Citation

Xiangyun Hu, Zuxun Zhang, and Jianqing Zhang "Object-space-based interactive extraction of manmade object from aerial images", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441661

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available