You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
10 July 2009Building extraction from high-resolution remotely sensed imagery based on morphology characteristics
Information extraction and target recognition are key technologies for high-resolution remote sensing, as well as the
foundation of carrying out high resolution remote sensing application. Buildings are the most important ground objects
of urban areas. Therefore, the thematic information extraction of buildings from high resolution remote sensing data is of
great significance in many fields. The extraction results have been widely used in urban planning, geographical data
updates, population and socio-economic census, environmental monitoring and other fields. This paper proposes an
algorithm based on morphological characteristics of connected components to segment image and extract buildings from
high-resolution image, and successfully extracted the buildings information. First of all, select the 0.6 m pan sharpened
band integrated with 3 multispectral bands QUICKBIRD image which imaged in May 2004 as experimental data, and
preprocess with geometric correction and integration. Then, process images with closing and opening morphology filter
in different scales and build mask to remove the background interference. Finally, use the method of gray-scale threshold,
edge detection to segment and select different features to extract buildings respectively. The results proved that the
object-oriented building extraction method based on morphology characteristics is superior to the general per-pixel or
per-field extraction method. On the one hand, this method improves the extraction accuracy, on the other hand ,improves
the contours of buildings.
Xiuli Xu,Xianfeng Feng, andChuanhai Wang
"Building extraction from high-resolution remotely sensed imagery based on morphology characteristics", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890F (10 July 2009); https://doi.org/10.1117/12.836961
The alert did not successfully save. Please try again later.
Xiuli Xu, Xianfeng Feng, Chuanhai Wang, "Building extraction from high-resolution remotely sensed imagery based on morphology characteristics," Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890F (10 July 2009); https://doi.org/10.1117/12.836961