| 光谱学与光谱分析 |
|
|
|
|
|
| An Accurate Approach to Hyperspectral Mineral Identification Based on Naive Bayesian Classification Model |
| HE Jin-xin1, CHEN Sheng-bo2, WANG Yang3, WU Yan-fan3 |
1. College of Earth Sciences, Jilin University, Changchun 130061, China
2. College of Geo-exploration Science and Technology, Jilin University, Changchun 130061, China
3. College of Computer Science and Technology, Jilin University, Changchun 130012, China |
|
|
|
|
Abstract The spectral absorption features are very similar between some minerals, especially hydrothermal alteration minerals related to mineralization, and they are also influenced by other factors such as spectral mixture. As a result, many of the spectral identification approaches for the minerals with similar spectral absorption features are prone to confusion and misjudgment. Therefore, to solve the phenomenon of “same mineral has different spectrums, and same spectrum belongs to different minerals”, this paper proposes an accurate approach to hyperspectral mineral identification based on naive bayesian classification model. By testing and analyzing muscovite and kaolinite, the two typical alteration minerals, and comparing this approach with spectral angle matching, binary encoding and spectral feature fitting, the three popular spectral identification approaches, the results show that this approach can make more obvious differences among different minerals having similar spectrums, and has higher classification accuracy, since it is based on the position of absorption feature, absorption depth and the slope of continuum.
|
|
Received: 2013-05-01
Accepted: 2013-07-22
|
|
|
|
Corresponding Authors:
HE Jin-xin
E-mail: hejx@jlu.edu.cn;jxhe@ymail.com
|
|
[1] WANG Run-sheng, GAN Fu-ping, YAN Bo-kun, et al(王润生，甘甫平，闫柏琨，等). Remote Sensing for Land & Resources(国土资源遥感)，2010，(1)：1.
[2] XU Wei-dong，YIN Qiu，KUANG Ding-bo(许卫东，尹 球，匡定波). Journal of Infrared and Millimeter Waves(红外与毫米波学报)，2005，24(4)：296.
[3] SU Li-hong，LI Xiao-wen. WANG Jin-di，et al(苏理宏，李小文，王锦地，等). Advance in Earth Sciences(地球科学进展)，2003，18(2)：185.
[4] GONG Shao-qi, WANG Xin, SHEN Run-ping, et al(龚绍琦, 王 鑫, 沈润平，等). Remote Sensing Technology and Application(遥感技术与应用), 2010, 25(2): 170.
[5] BAI Ji-wei，ZHAO Yong-chao，ZHANG Bing，et al(白继伟，赵永超，张 兵，等). Computation Engineering and Applications(计算机工程与应用)，2003，39(13)：88.
[6] Clark M I，Roberts D A，Clark D B. Remote Sensing of Environment，2005. 96：375.
[7] Du Y Z，Chang C I，Ren H ，et al. Optical Engineering，2004，43(8)：1777.
[8] Glenn N F，Mundt J T，Weber K. Remote Sensing of Environment，2005，95：399.
[9] Wang S，Chang C I. IEEE Transaction on Geoscience and Remote Sensing，2006. 44(6)：1575.
[10] XU Ming-xing, WU Shao-hua, ZHOU Sheng-lu(徐明星, 吴绍华, 周生路). Journal of Infrared Millimeter Waves(红外与毫米波学报), 2011, 30(2): 110. |
| [1] |
FENG Hai-kuan1, 2, YUE Ji-bo3, FAN Yi-guang2, YANG Gui-jun2, ZHAO Chun-jiang1, 2*. Estimation of Potato Above-Ground Biomass Based on VGC-AGB Model and Hyperspectral Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2876-2884. |
| [2] |
JIN Chun-bai1, YANG Guang1*, LU Shan2*, LIU Wen-jing1, LI De-jun1, ZHENG Nan1. Band Selection Method Based on Target Saliency Analysis in Spatial Domain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2952-2959. |
| [3] |
GAO Yu1, SUN Xue-jian1*, LI Guang-hua2, ZHANG Li-fu1, QU Liang2, ZHANG Dong-hui1, CHANG Jing-jing2, DAI Xiao-ai3. Study on the Derivation of Paper Viscosity Spectral Index Based on Spectral Information Expansion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2960-2966. |
| [4] |
KONG Bo1, YU Huan2*, SONG Wu-jie2, 3, HOU Yu-ting2, XIANG Qing2. Hyperspectral Characteristics and Quantitative Remote Sensing Inversion of Gravel Grain Size in the North Tibetan Plateau[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2381-2390. |
| [5] |
ZHANG Xia1, WANG Wei-hao1, 2*, SUN Wei-chao1, DING Song-tao1, 2, WANG Yi-bo1, 2. Soil Zn Content Inversion by Hyperspectral Remote Sensing Data and Considering Soil Types[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2019-2026. |
| [6] |
WANG Hui-min1, 2, YU Lei1, XU Kai-lei1, 2, JIANG Xiao-guang1, 2, WAN Yu-qing1, 2*. Estimation of Salt Content of Saline Soil in Arid Areas Based on GF-5 Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2278-2286. |
| [7] |
CAO Yang1, 2, LI Yan-hong1, 2*. Study on the Effects of NO2 Pollution Under COVID-19 Epidemic
Prevention and Control in Urumqi[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1981-1987. |
| [8] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
| [9] |
ZHANG Bao-ping1, NING Tian1, ZHANG Fu-rong1, CHEN Yi-shen1, ZHANG Zhan-qin2, WANG Shuang1*. Study on Raman Spectral Characteristics of Breast Cancer Based on
Multivariable Spectral Data Analysis Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 426-434. |
| [10] |
XU Long-xin1, 2, 3, 4, SUN Yong-hua2, 3, 4*, WU Wen-huan1, ZOU Kai2, 3, 4, HE Shi-jun2, 3, 4, ZHAO Yuan-ming2, 3, 4, YE Miao2, 3, 4, ZHANG Xiao-han2, 3, 4. Research on Classification of Construction Waste Based on UAV Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3927-3934. |
| [11] |
FENG Tian-shi1, 2, 3, PANG Zhi-guo1, 2, 3*, JIANG Wei1, 2, 3. Remote Sensing Retrieval of Chlorophyll-a Concentration in Lake Chaohu Based on Zhuhai-1 Hyperspectral Satellite[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2642-2648. |
| [12] |
ZHANG Jie1, 2, XU Bo1, FENG Hai-kuan1, JING Xia2, WANG Jiao-jiao1, MING Shi-kang1, FU You-qiang3, SONG Xiao-yu1*. Monitoring Nitrogen Nutrition and Grain Protein Content of Rice Based on Ensemble Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1956-1964. |
| [13] |
JING Xia1, ZHANG Jie1, 2, WANG Jiao-jiao2, MING Shi-kang2, FU You-qiang3, FENG Hai-kuan2, SONG Xiao-yu2*. Comparison of Machine Learning Algorithms for Remote Sensing
Monitoring of Rice Yields[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1620-1627. |
| [14] |
YANG Zhi-chao1, 2, CAI Jing1, ZHANG Hui1, SHI Lu1. Drug Classification Method Based on Surface-Enhanced Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1168-1172. |
| [15] |
JI Tong1, 2, WANG Bo1, 2, YANG Jun-ying1, 2, LI Qiang1, 2, HE Guo-xing1, 2, PAN Dong-rong3, LIU Xiao-ni1, 2*. Spectral Characteristic Analysis and Spectral Identification of Desert Plants in Yanchi, Ningxia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 678-685. |
|
|
|
|
