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Open AccessArticle

Building Detection from VHR Remote Sensing Imagery Based on the Morphological Building Index

1
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
3
Ecosystem Dynamics and Global Ecology Laboratory, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36837, USA
4
School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(8), 1287; https://doi.org/10.3390/rs10081287
Received: 26 June 2018 / Revised: 6 August 2018 / Accepted: 9 August 2018 / Published: 15 August 2018
Automatic detection of buildings from very high resolution (VHR) satellite images is a current research hotspot in remote sensing and computer vision. However, many irrelevant objects with similar spectral characteristics to buildings will cause a large amount of interference to the detection of buildings, thus making the accurate detection of buildings still a challenging task, especially for images captured in complex environments. Therefore, it is crucial to develop a method that can effectively eliminate these interferences and accurately detect buildings from complex image scenes. To this end, a new building detection method based on the morphological building index (MBI) is proposed in this study. First, the local feature points are detected from the VHR remote sensing imagery and they are optimized by the saliency index proposed in this study. Second, a voting matrix is calculated based on these optimized local feature points to extract built-up areas. Finally, buildings are detected from the extracted built-up areas using the MBI algorithm. Experiments confirm that our proposed method can effectively and accurately detect buildings in VHR remote sensing images captured in complex environments. View Full-Text
Keywords: building detection; built-up areas extraction; local feature points; saliency index; morphological building index building detection; built-up areas extraction; local feature points; saliency index; morphological building index
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You, Y.; Wang, S.; Ma, Y.; Chen, G.; Wang, B.; Shen, M.; Liu, W. Building Detection from VHR Remote Sensing Imagery Based on the Morphological Building Index. Remote Sens. 2018, 10, 1287.

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