Dr. Yunhao Chen Profile

Dr. Yunhao Chen

Research Associate Professor at Beijing Normal Univ

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Publications (11)

SPIE Journal Paper | 1 December 2011

Modeling loosely annotated images using both given and imagined annotations

Hong Tang, Nozha Boujemaa, Yunhao Chen, Lei Deng

OE, Vol. 50, Issue 12, 127004, (December 2011) https://doi.org/10.1117/12.10.1117/1.3660575

KEYWORDS: Visualization, Image processing, Visual process modeling, Optical engineering, Image segmentation, RGB color model, Image analysis, Image retrieval, Data modeling, Databases

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Proceedings Article | 7 August 2007 Paper

Bidirectional Dijkstra algorithm for best-routing of urban traffic network

Luyao Chen, Ji Zhou, Jing Li, Yunhao Chen

Proceedings Volume 6754, 675418 (2007) https://doi.org/10.1117/12.764679

KEYWORDS: Roads, Resistance, Algorithms, Optimization (mathematics), Detection and tracking algorithms, Switches, Data modeling, Lithium, Natural disasters, Geoinformatics

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Proceedings Article | 26 July 2007 Paper

Mapping coral reef benthic cover with fused IKONOS imagery

Yuanyuan Wang, Yunhao Chen, Jing Li

Proceedings Volume 6752, 67521F (2007) https://doi.org/10.1117/12.760704

KEYWORDS: Earth observing sensors, High resolution satellite images, Image segmentation, Reflectivity, Associative arrays, Feature extraction, Remote sensing, Image classification, Visualization, Statistical analysis

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Proceedings Article | 26 July 2007 Paper

Estimation and seasonal monitoring of urban vegetation abundance based on remote sensing

Ji Zhou, Yun Chen, Jing Li, Qi Weng, Yan Tang

Proceedings Volume 6752, 67521W (2007) https://doi.org/10.1117/12.760714

KEYWORDS: Vegetation, Spectral models, Remote sensing, Spatial resolution, Data modeling, Climatology, Reflectivity, Accuracy assessment, Atmospheric modeling, Data conversion

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Proceedings Article | 28 October 2006 Paper

Some new classification methods for hyperspectral remote sensing

Pei-jun Du, Yun-hao Chen, Simon Jones, Jelle Ferwerda, Zhi-jun Chen, Hua-peng Zhang, Kun Tan, Zuo-xia Yin

Proceedings Volume 6419, 641929 (2006) https://doi.org/10.1117/12.713419

KEYWORDS: Image classification, Remote sensing, Data fusion, Information fusion, Image fusion, Image segmentation, Hyperspectral imaging, Neural networks, Image processing, Principal component analysis

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Proceedings Article | 28 October 2006 Paper

Spectral analysis and information extraction of crop disease by multi-temporal hyperspectral images

Ke-ming Yang, Yun-hao Chen, Da-zhi Guo, Jin-Bao Jiang

Proceedings Volume 6419, 641909 (2006) https://doi.org/10.1117/12.712696

KEYWORDS: Vegetation, Hyperspectral imaging, Reflectivity, Near infrared, Image classification, Visible radiation, Associative arrays, Data acquisition, Image processing, Soil science

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Proceedings Article | 28 October 2006 Paper

Radargrammetry DEM from RADARSAT imageries and accuracy validation: a case study in Malaysian rainforest areas

De-yong Hu, Jing Li, Yun-hao Chen, Lei Deng, Ku Mohd Noh Hj Ku Ramli, Guang-xiong Peng

Proceedings Volume 6419, 641906 (2006) https://doi.org/10.1117/12.712622

KEYWORDS: Synthetic aperture radar, Data modeling, 3D modeling, Global Positioning System, Image processing, Remote sensing, Radar, Image resolution, Climatology, Vegetation

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Proceedings Article | 28 October 2006 Paper

The utility of texture analysis to improve per-pixel classification for CBERS02's CCD image

Guangxiong Peng, Yuhua He, Jing Li, Yunhao Chen, Deyong Hu

Proceedings Volume 6419, 64191C (2006) https://doi.org/10.1117/12.713196

KEYWORDS: Image classification, Charge-coupled devices, CCD image sensors, Statistical analysis, Remote sensing, Matrices, Image analysis, Feature extraction, Satellites, Spatial resolution

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Proceedings Article | 19 May 2006 Paper

Hyperspectral remote sensing image retrieval based on spectral similarity measure

Peijun Du, Yunhao Chen, Hong Tang, Tao Fang

Proceedings Volume 6199, 61990I (2006) https://doi.org/10.1117/12.673667

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Spectral similarity measure plays important roles in hyperspectral Remote Sensing (RS) information processing, and it can be used to content-based hyperspectral RSimage retrieval effectively too. The applications of spectral features to Remote Sensing (RS) image retrieval are discussed by taking hyperspectral RS image as examples oriented to the demands of massive information management. It is proposed that spectral features-based image retrieval includes two modes: retrieval based on point template and facial template. Point template is used usually, for example, a spectral curve, or a pixel vector in hyperspectral RS image. One or more regions (or blocks with area shape) are given as examples in image retrieval based on facial template. The most important issues in image retrieval are spectral features extraction and spectral similarity measure. Spectral vector can be used to retrieval directly, and spectral angle and spectral information divergence (SID) are more effective than Euclidean distance and correlation coefficient in similarity measure and image retrieval. Both point and pure area template can be transformed into spectral vector and used to spectral similarity measure. In addition, the local maximum and minimum in reflection spectral curve, corresponding to reflection peak and absorption valley, can be used to retrieval also. The width, height, symmetry and power of each peak or valley can be used to encode spectral features. By comparison to three approaches for spectral absorption and reflection features matching and similarity measures, it is found that spectral absorption and reflection features are not very effective in hyperspectral RS image retrieval. Finally, a prototype system is designed, and it proves that the hyperspectral RS image retrieval based on spectral similarity measure proposed in this paper is effective and some similarity measure index including spectral angle, SID and encoding measure are suitable for image retrieval in practice.

Proceedings Article | 4 November 2005 Paper

On the filtering of hyperspectral remote sensing image

Peijun Du, Yunhao Chen, Yonggui Yang, Huapeng Zhang

Proceedings Volume 6044, 604418 (2005) https://doi.org/10.1117/12.655105

KEYWORDS: Image filtering, Optical filters, Digital filtering, Remote sensing, Image quality, Hyperspectral imaging, Image enhancement, Image processing, 3D image processing, Data processing

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Proceedings Article | 16 June 2003 Paper

Fractional vegetation cover estimation based on satellite-sensed land classification

Yunhao Chen, Xiaobing Li, Xia Li, Peijun Shi

Proceedings Volume 4897, (2003) https://doi.org/10.1117/12.466867

KEYWORDS: Vegetation, Data modeling, Climatology, Remote sensing, Statistical modeling, Error analysis, Satellites, Ecosystems, Image resolution, Image classification

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Showing 5 of 11 publications

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