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Original Articles

Detection of noisy rectangular targets in high spatial resolution images

ORCID Icon, , , &
Pages 715-723 | Received 01 Dec 2017, Accepted 18 Apr 2018, Published online: 23 May 2018

References

  • Agüera, F., M. A. Aguilar, and F. J. Aguilar. 2006. “Detecting Greenhouse Changes from QuickBird Imagery on the Mediterranean Coast.” International Journal of Remote Sensing 27 (21): 4751–4767. doi:10.1080/01431160600702681.
  • Canny, J. 1986. “A Computational Approach to Edge Detection.” Ieee Transactions on Pattern Analysis and Machine Intelligence, no. 6: 679–698. doi:10.1109/TPAMI.1986.4767851.
  • Cui, S., Q. Yan, and P. Reinartz. 2012. “Complex Building Description and Extraction Based on Hough Transformation and Cycle Detection.” Remote Sensing Letters 3 (2): 151–159. doi:10.1080/01431161.2010.548410.
  • Jung, C. R., and R. Schramm. 2004. “Rectangle Detection Based on a Windowed Hough Transform.” Paper presented at the Computer Graphics and Image Processing, Xvii Brazilian Symposium, Curitiba, Brazil, October 17–20, 113–120.
  • Li, Q. 2014. “A Geometric Framework for Rectangular Shape Detection.” IEEE Transactions on Image Processing 23 (9): 4139–4149. doi:10.1109/TIP.2014.2343456.
  • Liu, Y., T. Ikenaga, and S. Goto. 2007. “An MRF Model-Based Approach to the Detection of Rectangular Shape Objects in Color Images.” Signal Processing 87 (11): 2649–2658. doi:10.1016/j.sigpro.2007.04.018.
  • Maurer, C. R., R. Q. Qi, and V. Raghavan. 2003. “A Linear Time Algorithm for Computing Exact Euclidean Distance Transforms of Binary Images in Arbitrary Dimensions.” IEEE Transactions on Pattern Analysis & Machine Intelligence 25 (2): 265–270. doi:10.1109/TPAMI.2003.1177156.
  • Wang, Z., and X. Yang. 2017. “An Edge-Suppressed Points Voting Method for Extracting Rural Residential Areas from High Spatial Resolution Images.” Remote Sensing Letters 8 (4): 380–388. doi:10.1080/2150704X.2016.1274442.
  • Zingman, I., O. A. Dietmar Saupe, B. Penatti, and K. Lambers. 2016. “Detection of Fragmented Rectangular Enclosures in Very High Resolution Remote Sensing Images.” IEEE Transactions on Geoscience & Remote Sensing 54 (8): 4580–4593. doi:10.1109/TGRS.2016.2545919.

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