Using Remote Sensing to Measure Pavement Surface Condition and Distress: A New Brunswick Pilot Test

Author:

Trevor Hanson,Yun Zhang,Xiomara Sanchez,Matthieu Goudreau

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Schnebele E, Tanyu BF, Cervone G, Waters N (2015) Review of remote sensing methodologies for pavement management and assessment. Eur Transp Res Rev 7(7):1–19

2. Wang W, Yang N, Zhang Y, Wang F, Cao T, Eklund P (2016) A review of road extraction from remote sensing images. J Traffic and Transport Eng 3(3):271–282

3. Zhou T, Sun C, Fu H (2019) Road information extraction from high-resolution remote sensing images based on road reconstruction. Remote Sens 11(79):1–22

4. Rezaee M, Zhang Y (2017) Detecting road and building using a fully convolutional network in aerial images. In: ASPRS annual conference: IGTF 2017, Baltimore, USA

5. Mettas C, Themistocleous K, Neocleous K, Christofe A, Pilakoutas K, Hadjimitsis D (2015) Monitoring asphalt pavement damages using remote sensing techniques. In: Third international conference on remote sensing and geoinformation of the environment (RSCy2015), 2015, Proceedings of SPIE, vol 9535

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