Dr. Shanshan Li Profile

Dr. Shanshan Li

at Institute of Remote Sensing and Digital Earth

SPIE Involvement:

Author

Publications (8)

SPIE Journal Paper | 30 October 2015

Hyperspectral image clustering method based on artificial bee colony algorithm and Markov random fields

Xu Sun, Lina Yang, Lianru Gao, Bing Zhang, Shanshan Li, Jun Li

JARS, Vol. 9, Issue 01, 095047, (October 2015) https://doi.org/10.1117/12.10.1117/1.JRS.9.095047

KEYWORDS: Composites, Hyperspectral imaging, Magnetorheological finishing, Optimization (mathematics), Signal to noise ratio, Computer simulations, Hyperspectral simulation, Image classification, Mathematical modeling, Remote sensing

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Proceedings Article | 23 October 2014 Paper

Precise geometric correction of LANDSAT-8 images based on Kalman filter

Shanshan Li, Shaofeng Guo, An Li

Proceedings Volume 9244, 92441K (2014) https://doi.org/10.1117/12.2067080

KEYWORDS: Filtering (signal processing), Satellites, Earth observing sensors, Precision calibration, Error analysis, Remote sensing, Satellite imaging, Landsat, Space operations, Virtual point source

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SPIE Journal Paper | 17 October 2014

Edge-constrained Markov random field classification by integrating hyperspectral image with LiDAR data over urban areas

Li Ni, Lianru Gao, Shanshan Li, Jun Li, Bing Zhang

JARS, Vol. 8, Issue 01, 085089, (October 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.085089

KEYWORDS: LIDAR, Image classification, Magnetorheological finishing, Hyperspectral imaging, Fusion energy, Data modeling, Roads, Data acquisition, Image fusion, Lithium

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Proceedings Article | 23 May 2013 Paper

Optimising the use of hyperspectral and multispectral data for regional crop classification

Li Ni, Bing Zhang, Lianru Gao, Shanshan Li, Yuanfeng Wu

Proceedings Volume 8745, 87451V (2013) https://doi.org/10.1117/12.2015646

KEYWORDS: Associative arrays, Hyperspectral simulation, Image classification, Data centers, Spectral resolution, Data conversion, Accuracy assessment, Hyperspectral imaging, Signal to noise ratio, Agriculture

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SPIE Journal Paper | 1 January 2011

Adaptive support vector machine and Markov random field model for classifying hyperspectral imagery

Shanshan Li, Bing Zhang, Dongmei Chen, Lianru Gao, Man Peng

JARS, Vol. 5, Issue 1, 053538, (January 2011) https://doi.org/10.1117/12.10.1117/1.3609847

KEYWORDS: Hyperspectral imaging, Image classification, Magnetorheological finishing, Statistical analysis, Remote sensing, Spatial resolution, Image segmentation, Lithium, Spectral resolution, Algorithms

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SPIE Journal Paper | 1 January 2011

Errata: Adaptive support vector machine and Markov random field model for classifying hyperspectral imagery

Shanshan Li, Bing Zhang, Dongmei Chen, Lianru Gao, Man Peng

JARS, Vol. 5, Issue 1, 050101, (January 2011) https://doi.org/10.1117/12.10.1117/1.3628662

Proceedings Article | 10 November 2008 Paper

Study on the visual algorithm for JPEG-HDR remote sensing image

Shanshan Li, Man Peng

Proceedings Volume 7146, 71461M (2008) https://doi.org/10.1117/12.813149

KEYWORDS: Remote sensing, High dynamic range imaging, Visualization, Reconstruction algorithms, Image visualization, Image compression, Image quality, Photogrammetry, Image enhancement, Image processing

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Proceedings Article | 15 November 2007 Paper

Single level set based fast images segmentation model with multiple regions

Honghui Zhang, Yong Tan, Shanshan Li

Proceedings Volume 6786, 67861T (2007) https://doi.org/10.1117/12.748925

KEYWORDS: Image segmentation, Image processing, Lithium, Performance modeling, Electronics engineering, Information science, Numerical analysis, Machine vision, Computer vision technology, Optimization (mathematics)

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Showing 5 of 8 publications

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