@inproceedings{9139b4c918a741acaf704b9d02f7e6a9,
title = "Novel MSER-guided street extraction from satellite images",
abstract = "The paper presents a novel technique to segment and extract streets from satellite images. This technique utilizes, for the first time in the known literature, the Maximally Stable Extremal Regions (MSER) algorithm to robustly identify and segment streets from satellite images. The technique extracts dark MSERs and then classifies them based on multiple metrics such as the intensity of the pixels, the region stability, and the major-to-minor axes ratio. Testing results under multiple scenarios corroborate the accuracy of the proposed technique. The technique will allow fast and accurate implementation of a wide spectrum of applications such as in Global Positioning System (GPS) driving guidance.",
keywords = "Image Processing, Maximally Stable Extremal Regions, Segmentation, Street Extraction",
author = "Ehab Salahat and Hani Saleh and Andrzej Sluzek and Baker Mohammad and Mahmoud Al-Qutayri and Mohammad Ismail",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",
year = "2015",
month = nov,
day = "10",
doi = "10.1109/IGARSS.2015.7325945",
language = "British English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1032--1035",
booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",
address = "United States",
}