# Semi-Automatic Method of Extracting Road Networks from High-Resolution Remote-Sensing Images
## 2 Materials and Methods
### Methodology
#### 2.2.1 Interactive Single-Road Extraction
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction. _Int. J. Appl. Earth Obs._**2021**, _104_, 102544. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON]; [PERSON] High resolution remote sensing image road extraction combining region growing and road-unit. _Geomat. Inf. Sci. Wuhan Univ._**2013**, _38_, 761-764. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Road Extraction from Remote Sensing Images Based on Improved Regional Growth. _Comput. Eng. Appl._**2016**, _209-213_, 238. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] Pole-like Objects Segmentation and Multiscale Classification-Based Fusion from Mobile Point Clouds in Road Scenes. _Remote Sens._**2021**, _13_, 4382. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON] Semi-automatic road centerline extraction from high-resolution remote sensing by image utilizing dynamic programming. _J. Geomat. Sci. Technol._**2015**, _32_, 615-618. [CrossRef]
* [PERSON] and [PERSON] (1995) [PERSON]; [PERSON] Road extraction from aerial and satellite images by dynamic programming. _ISPRS J. Photogramm. Remote Sens._**1995**, _50_, 11-20. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Road Extraction Methods in High-Resolution Remote Sensing Images: A Comprehensive Review. _IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens._**2020**, _13_, 5489-5507. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Semantic Segmentation and Edge Detection--Approach to Road Detection in Very High Resolution Satellite Images. _Remote Sens._**2022**, _14_, 613. [CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Automated road extraction from high resolution satellite images. _Procedia Technol._**2016**, _24_, 1460-1467. [CrossRef]
* [PERSON] et al. (2005) [PERSON]; [PERSON]; [PERSON] Utilizing Edge to Extract Roads in High-Resolution Satellite Imagery. In Proceedings of the IEEE International Conference on Image Processing, Genova, Italy, 14 September 2005; Volume 1, p. I-637. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] Semi-automatic road extraction method from high resolution remote sensing images based on P-N learning. _Geomat. Inf. Sci. Wuhan Univ._**2017**, _42_, 775-781. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Semi-automatic extraction of rural roads under the constraint of combined geometric and texture features. _ISPRS Int. J. Geo-Inf._**2021**, _10_, 754. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Road extraction from high-spatial-resolution remote sensing image by combining GVF snake with salient features. _Acta Geod. Cartog. Sin._**2017**, _46_, 1978-1985. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] [PERSON] A Semi Automatic off-roads and Trails Extraction Method from Sentinel-1 Data. In Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA, 23-28 July 2017; pp. 3728-3731. [CrossRef]* [PERSON] and [PERSON] (2010) [PERSON]; [PERSON] Road extraction in remote sensing images based on region growing and GVF-Snake. _Comput. Eng. Appl._**2010**, _46_, 202-205. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Road structure refined CNN for road extraction in aerial image. _IEEE Geosci. Remote. Sens. Lett._**2017**, _14_, 709-713. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A review of road extraction from remote sensing images. _J. Traffic Trans. Eng._**2016**, \(3\), 271-282. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Automatic determination of seamless for aerial image mosaicking based on vector roads alone. _ISPRS J. Photogramm. Remote Sens._**2013**, _76_, 1-10. [CrossRef]
* [PERSON] (2013) [PERSON] Machine Learning for Aerial Image Labeling.