| 光谱学与光谱分析 |
|
|
|
|
|
| Research on Spectral Data Feature Extraction Based on Wavelet Decomposition |
| CHEN Gang1，3, CHEN Xiao-mei1，2*, LI Ting1，2, NI Guo-qiang1，2 |
1. School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
2. Key Laboratory of Photoelectronic Imaging Technology and System，Beijing Institute of Technology, Ministry of Education of China, Beijing 100081, China
3. Polytechnic Institute of New York University, Brooklyn, NY, U.S. 11201 |
|
|
|
|
Abstract Reflectance spectral curve reveals the unique physical characteristic of different materials. Through spectral match and recognition, different materials could be distinguished. Because of the great amount of spectral data and the ambiguous absorption feature of original spectral curve, feature extraction of reflectance spectral curve is one of the essential techniques in hyperspectral image classification and recognition. Using wavelet decomposition technique, the present paper proposes a new spectral feature extraction algorithm to compress data amount while reserve spectral feature selectively. Through selecting the appropriate decomposition level by measuring the objective absorption feature frequency, the original signal would be projected into a new feature space with less data amount and more obvious objective feature than the original one. The experiments show that the method proposed can reduce the spectrum dimensions effectively and improve the recognition precision with the spectrum matching.
|
|
Received: 2009-12-18
Accepted: 2010-03-22
|
|
|
|
Corresponding Authors:
CHEN Xiao-mei
E-mail: cxiaomei@bit.edu.cn
|
|
[1] TONG Qing-xi, ZHANG Bing, ZHENG Lan-fen(童庆禧, 张 兵, 郑兰芬). Hyperspectral Remote Sensing(高光谱遥感). Beijing: Higher Education Press(北京: 高等教育出版社), 2006.
[2] ZHANG Liang-pei, ZHANG Li-fu(张良培, 张立福). Hyperspectral Remote Sensing(高光谱遥感). Wuhan: Wuhan University Press(武汉: 武汉大学出版社), 2005.
[3] SU Hong-jun, DU Pei-jun(苏红军, 杜培军). Remote Sensing Technology and Application(遥感技术与应用), 2006, 21(4): 288.
[4] WEN Bing-gong, FENG Wu-fa, LIU Wei, et al(闻兵工, 冯伍法, 刘 伟，等). Journal of Geomatics Science and Technology(测绘科学技术学报). 2009, 26(2): 129.
[5] XIE Bo-cheng, XUE Xu-zhang, LIU Wei-dong(谢伯承, 薛绪掌, 刘伟东). Acta Pedologica Sinica(土壤学报). 2005, 42(1): 171.
[6] WU Bo, ZHANG Liang-pei, LI Ping-xiang(吴 波, 张良培, 李平湘). Acta Electronica Sinica(电子学报), 2005, 33(11): 1933.
[7] Pittner Stefan, Kamarthi Sagar V. IEEE Transactions on Pattern Analysis And Machine Intelligence, 1999，21(1): 83.
[8] NI Guo-qiang, SHEN Yuan-ting, XU Da-qi(倪国强, 沈渊婷, 徐大琦). Transactions of Beijing Institute of Technology(北京理工大学学报), 2007, 27(7): 621.
[9] Daubechies I. Ten Lectures on Wavelets. SIAM, 1992.
[10] Burrus C S, Gopinath R A, Guo H. Introduction to Wavelets and Wavelet Transforms. Upper Saddle River, NJ: Prentice Hall, 1997.
[11] LIU Yan-de, OUYANG Ai-guo, YING Yi-bin(刘燕德, 欧阳爱国, 应义斌). Chinese Journal of Sensors and Actuators(传感技术学报), 2006, 19(3): 821.
[12] XU Chang-fa, LI Guo-kuan(徐长发，李国宽). Practical Wavelet Method(实用小波方法). Wuhan: Huazhong University of Science & Technology Press(武汉：华中科技大学出版社), 2001.
[13] Kaewpijit Sinthop, Moigne Jacqueline Le, El-Ghazawi Tarek. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(4): 863.
|
| [1] |
FAN Ping-ping，LI Xue-ying，QIU Hui-min，HOU Guang-li，LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
| [2] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
| [3] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [4] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [5] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
| [6] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
| [7] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
| [8] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
| [9] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
| [10] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
| [11] |
FENG Ying-chao1, HUANG Yi-ming2*, LIU Jin-ping1, JIA Chen-peng2, CHEN Peng1, WU Shao-jie2*, REN Xu-kai3, YU Huan-wei3. On-Line Monitoring of Laser Wire Filling Welding Process Based on Emission Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1927-1935. |
| [12] |
WANG Yu-qi, LI Bin, ZHU Ming-wang, LIU Yan-de*. Optimizations of Sample and Wavelength for Apple Brix Prediction Model Based on LASSOLars Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1419-1425. |
| [13] |
LI Shuai-wei1, WEI Qi1, QIU Xuan-bing1*, LI Chuan-liang1, LI Jie2, CHEN Ting-ting2. Research on Low-Cost Multi-Spectral Quantum Dots SARS-Cov-2 IgM and IgG Antibody Quantitative Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1012-1016. |
| [14] |
JIN Cui1, 4, GUO Hong1*, YU Hai-kuan2, LI Bo3, YANG Jian-du3, ZHANG Yao1. Spectral Analysis of the Techniques and Materials Used to Make Murals
——a Case Study of the Murals in Huapen Guandi Temple in Yanqing District, Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1147-1154. |
| [15] |
DING Kun-yan1, HE Chang-tao2, LIU Zhi-gang2*, XIAO Jing1, FENG Guo-ying1, ZHOU Kai-nan3, XIE Na3, HAN Jing-hua1. Research on Particulate Contamination Induced Laser Damage of Optical Material Based on Integrated Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1234-1241. |
|
|
|
|
