| 光谱学与光谱分析 |
|
|
|
|
|
| Reduction of Hyperspectral Dimensions and Construction of Discriminating Models for Identifying Wetland Plant Species |
| LIU Xue-hua, SUN Yan, WU Yan |
| Institute of Ecology, School of Environment, Tsinghua University, Beijing 100084, China |
|
|
|
|
Abstract The present paper researched and analyzed the hyperspectral data of wetland plant species often occurred in Beijing. The methods of Mahalanobis Distance (MD) and principal component analysis (PCA) were mainly applied to reduce the dimensions of hyperspectral data and to analyze and extract the features of spectra. The authors use the extracted spectra to build identification models for identifying the wetland species. The authors then compared and evaluated the precisions of models and finally obtained the best discriminating model. The results showed that (1) the dimensions of hyperspectral data can be efficiently reduced by both MD and PCA methods. (2) The discriminating models established using the parameters extracted from the resulting spectra of MD and PCA could identify the wetland plants with high precisions of more than 90%. As a result, the conversion and usage of the hyperspectral data can help better understand and well extract the spectra of different wetland plants. Furthermore, the constructed discriminating models for wetland species could also be used in the future to guide us in mapping and monitoring of wetland ecosystem by applying the remote sensing data.
|
|
Received: 2010-12-19
Accepted: 2011-03-18
|
|
|
|
Corresponding Authors:
LIU Xue-hua
E-mail: xuehua-hjx@tsinghua.edu.cn
|
|
[1] MENG Xian-min(孟宪民). Scientia Geographica Sinica(地理科学), 1999, 5: 385.
[2] XIONG Han-feng, HUANG Shi-kuan, CHEN Zhi-ping et al(熊汉锋，黄世宽，陈治平，等). Chinese Journal of Ecology(生态学杂志), 2007, 26(4): 466.
[3] GENG Qi-peng, HONG Jian-ming(耿琦鹏，洪剑明). Pollution Control Technology(污染防治技术)，2007, 20(1): 28.
[4] HUANG Zhao-jun(黄朝君). Jiangxi Science(江西科学). 2006, 24(6): 513.
[5] WANG Guo-sheng, ZHONG Yu-shu, TIAN Min, et al(王国生，钟玉书，田 敏，等). Liaoning Agricultural Sciences(辽宁农业科学)，2006, 2: 5.
[6] LOU Yan-jing, ZHAO Kui-yi, MA Ke-ping(娄彦景，赵魁义，马克平). Acta Ecologica Sinica(生态学报)，2000, 27(9): 3883.
[7] XIAO Hai-yan，ZENG Hui，ZAN Qi-jie，et al(肖海燕，曾 辉，昝启杰，等). Journal of Remote Sensing(遥感学报), 2010, 11(4)：531.
[8] Wang C, Menenti M, Stoll M P, et al. Remote Sensing of Environment，2007, 107(4): 559.
[9] LI Jian-ping, ZHANG Bai, ZHANG Ling et al(李建平，张 柏，张 泠，等). Progress in Geography(地理科学进展)，2007, 26(1): 33.
[10] Sun Y, Liu X, Wu Y, et al. Identifying Hyper Spectral Characters of Wetland Species Using in-situ Data. ISPRS2008, China, Beijing，2008. 459.
[11] De Maesschalck R, Jouan-Rimbaud D, Massart D L. Chemometrics and Intelligent Laboratory Systems, 2000, 50(1): 1.
[12] Raju T N, William S G, William A. Pediatrics. 2005, 116(3): 732.
[13] Becker B L, Lusch D P, Qi J. Remote Sensing of Environment，2005, 97(2): 238.
|
| [1] |
WANG Cai-ling1，ZHANG Jing1，WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
| [2] |
GAO Hong-sheng1, GUO Zhi-qiang1*, ZENG Yun-liu2, DING Gang2, WANG Xiao-yao2, LI Li3. Early Classification and Detection of Kiwifruit Soft Rot Based on
Hyperspectral Image Band Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 241-249. |
| [3] |
WU Hu-lin1, DENG Xian-ming1*, ZHANG Tian-cai1, LI Zhong-sheng1, CEN Yi2, WANG Jia-hui1, XIONG Jie1, CHEN Zhi-hua1, LIN Mu-chun1. A Revised Target Detection Algorithm Based on Feature Separation Model of Target and Background for Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 283-291. |
| [4] |
CHU Bing-quan1, 2, LI Cheng-feng1, DING Li3, GUO Zheng-yan1, WANG Shi-yu1, SUN Wei-jie1, JIN Wei-yi1, HE Yong2*. Nondestructive and Rapid Determination of Carbohydrate and Protein in T. obliquus Based on Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3732-3741. |
| [5] |
HUANG You-ju1, TIAN Yi-chao2, 3*, ZHANG Qiang2, TAO Jin2, ZHANG Ya-li2, YANG Yong-wei2, LIN Jun-liang2. Estimation of Aboveground Biomass of Mangroves in Maowei Sea of Beibu Gulf Based on ZY-1-02D Satellite Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3906-3915. |
| [6] |
ZHOU Bei-bei1, LI Heng-kai1*, LONG Bei-ping2. Variation Analysis of Spectral Characteristics of Reclaimed Vegetation in an Ionic Rare Earth Mining Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3946-3954. |
| [7] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [8] |
YUAN Wei-dong1, 2, JU Hao2, JIANG Hong-zhe1, 2, LI Xing-peng2, ZHOU Hong-ping1, 2*, SUN Meng-meng1, 2. Classification of Different Maturity Stages of Camellia Oleifera Fruit
Using Hyperspectral Imaging Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3419-3426. |
| [9] |
FU Gen-shen1, LÜ Hai-yan1, YAN Li-peng1, HUANG Qing-feng1, CHENG Hai-feng2, WANG Xin-wen3, QIAN Wen-qi1, GAO Xiang4, TANG Xue-hai1*. A C/N Ratio Estimation Model of Camellia Oleifera Leaves Based on
Canopy Hyperspectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3404-3411. |
| [10] |
SHEN Ying, WU Pan, HUANG Feng*, GUO Cui-xia. Identification of Species and Concentration Measurement of Microalgae Based on Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3629-3636. |
| [11] |
XIE Peng, WANG Zheng-hai*, XIAO Bei, CAO Hai-ling, HUANG Yi, SU Wen-lin. Hyperspectral Quantitative Inversion of Soil Selenium Content Based on sCARS-PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3599-3606. |
| [12] |
QIAN Rui1, XU Wei-heng2, 3 , 4*, HUANG Shao-dong2, WANG Lei-guang2, 3, 4, LU Ning2, OU Guang-long1. Tea Plantations Extraction Based on GF-5 Hyperspectral Remote Sensing
Imagery in the Mountainous Area[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3591-3598. |
| [13] |
ZHU Zhi-cheng1, WU Yong-feng2*, MA Jun-cheng2, JI Lin2, LIU Bin-hui3*, JIN Hai-liang1*. Response of Winter Wheat Canopy Spectra to Chlorophyll Changes Under Water Stress Based on Unmanned Aerial Vehicle Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3524-3534. |
| [14] |
YANG Lei1, 2, 3, ZHOU Jin-song1, 2, 3, JING Juan-juan1, 2, 3, NIE Bo-yang1, 3*. Non-Uniformity Correction Method for Splicing Hyperspectral Imager Based on Overlapping Field of View[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3582-3590. |
| [15] |
SUN Lin1, BI Wei-hong1, LIU Tong1, WU Jia-qing1, ZHANG Bao-jun1, FU Guang-wei1, JIN Wa1, WANG Bing2, FU Xing-hu1*. Identification Algorithm of Green Algae Using Airborne Hyperspectral and Machine Learning Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3637-3643. |
|
|
|
|
