Nan Su
at Harbin Insititute of Technology
SPIE Involvement:
Author
Publications (5)

Proceedings Article | 19 September 2016 Presentation + Paper
Proceedings Volume 9976, 99760V (2016) https://doi.org/10.1117/12.2237269
KEYWORDS: Wavelets, Image segmentation, Diagnostics, Hyperspectral imaging, Absorption, Spectral resolution, Compressed sensing, Reconstruction algorithms, Image processing algorithms and systems, Neodymium

Proceedings Article | 19 September 2016 Presentation + Paper
Ye Zhang, Shu Tian, Nan Su, Yiming Yan
Proceedings Volume 9976, 99760Q (2016) https://doi.org/10.1117/12.2237254
KEYWORDS: Satellite imaging, Earth observing sensors, Satellites, Image acquisition, Image quality, Remote sensing, Image segmentation, Feature extraction, Image fusion, Sensors

Proceedings Article | 19 September 2016 Presentation + Paper
Shu Tian, Ye Zhang, Yimin Yan, Nan Su, Junping Zhang
Proceedings Volume 9976, 99760T (2016) https://doi.org/10.1117/12.2237726
KEYWORDS: Image segmentation, Remote sensing, Spatial resolution, Associative arrays, Data modeling, Vegetation, Image compression, Chemical species, Electronics, Information technology

SPIE Journal Paper | 1 August 2016
Shu Tian, Ye Zhang, Yiming Yan, Nan Su
JARS, Vol. 10, Issue 04, 042008, (August 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.042008
KEYWORDS: Image segmentation, Remote sensing, Earth observing sensors, High resolution satellite images, Spatial resolution, Feature extraction, Image resolution, Image sensors, Image processing, Statistical analysis

Proceedings Article | 22 May 2014 Paper
Yiming Yan, Ye Zhang, Nan Su, Shu Tian, Fengjiao Gao, Pigang Liu, Yi Shen
Proceedings Volume 9124, 912411 (2014) https://doi.org/10.1117/12.2055024
KEYWORDS: Feature selection, Remote sensing, Bismuth, 3D modeling, Feature extraction, 3D image processing, Image classification, Optimization (mathematics), Buildings, Digital imaging

SIGN IN TO:
  • View contact details

UPDATE YOUR PROFILE
Is this your profile? Update it now.
Don’t have a profile and want one?

Advertisement
Advertisement
Back to Top