Shadow Detection in Remotely Sensed Images Based on Self-Adaptive Feature Selection

@article{Liu2011ShadowDI,
  title={Shadow Detection in Remotely Sensed Images Based on Self-Adaptive Feature Selection},
  author={Jiahang Liu and Tao Fang and Deren Li},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2011},
  volume={49},
  pages={5092-5103}
}
Shadows in remotely sensed images create difficulties in many applications; thus, they should be effectively detected prior to further processing. This paper presents a novel semiautomatic shadow detection method that meets the requirements of both high accuracy and wide practicability in remote sensing applications. The proposed method uses only the properties derived from the shadow samples to dynamically generate a feature space and calculate decision parameters; then, it employs a series of… CONTINUE READING

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 34 CITATIONS

Extended Random Walker for Shadow Detection in Very High Resolution Remote Sensing Images

  • IEEE Transactions on Geoscience and Remote Sensing
  • 2018
VIEW 13 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Automatic Building Detection From High-Resolution Satellite Images Based on Morphology and Internal Gray Variance

  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2016
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Shadow detection in remote sensing images based on weighted edge gradient ratio

  • 2014 IEEE Geoscience and Remote Sensing Symposium
  • 2014
VIEW 9 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

A Soft Shadow Detection Method Based on MRF for Remote Sensing Images

VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Monitoring of Urban Impervious Surfaces Using Time Series of High-Resolution Remote Sensing Images in Rapidly Urbanized Areas: A Case Study of Shenzhen

  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Spectral-Spatial Topographic Shadow Detection from Sentinel-2A MSI Imagery Via Convolutional Neural Networks

  • IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
  • 2018
VIEW 2 EXCERPTS
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 23 REFERENCES

Hierarchical shadow detection for color aerial images

  • Computer Vision and Image Understanding
  • 2006
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Efficient Shadow Detection of Color Aerial Images Based on Successive Thresholding Scheme

  • IEEE Transactions on Geoscience and Remote Sensing
  • 2009
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Application Optics, 3rd ed

Y. M. Zhang
  • Beijing, China: Publ. House Electron. Ind.,
  • 2008

A comparative study on shadow compensation of color aerial images in invariant color models

V.J.D. Tsai
  • IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1661–1671, Jun. 2006.
  • 2006
VIEW 3 EXCERPTS

Shadow Removal from a Single Image

  • Sixth International Conference on Intelligent Systems Design and Applications
  • 2006
VIEW 1 EXCERPT

Removing shadows

  • Pattern Recognition Letters
  • 2005
VIEW 1 EXCERPT