光谱学与光谱分析 |
|
|
|
|
|
Multispectral Remote Sensing Image Denoising Based on Non-Local Means |
LIU Peng, LIU Ding-sheng, LI Guo-qing, LIU Zhi-wen |
Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China |
|
|
Abstract The non-local mean denoising (NLM) exploits the fact that similar neighborhoods can occur anywhere in the image and can contribute to denoising. However, these current NLM methods do not aim at multichannel remote sensing image. Smoothing every band image separately will seriously damage the spectral information of the multispectral image. Then the authors promote the NLM from two aspects. Firstly, for multispectral image denoising, a weight value should be related to all channels but not only one channel. So for the kth band image, the authors use sum of smoothing kernel in all bands instead of one band. Secondly, for the patch whose spectral feature is similar to the spectral feature of the central patch, its weight should be larger. Bringing the two changes into the traditional non-local mean, a new multispectral non-local mean denoising method is proposed. In the experiments, different satellite images containing both urban and rural parts are used. For better evaluating the performance of the different method, ERGAS and SAM as quality index are used. And some other methods are compared with the proposed method. The proposed method shows better performance not only in ERGAS but also in SAM. Especially the spectral feature is better reserved in proposed NLM denoising.
|
Received: 2010-12-31
Accepted: 2011-03-26
|
|
Corresponding Authors:
LIU Peng
E-mail: pliu@ceode.ac.cn
|
|
[1] Luisier F, Blu T. IEEE Transactions on Image Processing, 2008, 17(4): 482. [2] De Backer S, Pizurica A, Huysmans B, et al. Image and Vision Computing, 2008, 26(7): S1038. [3] Abramovitch F, Sapatinas T, Silverman B W. J. Roy. Statist. Soc. Ser. B, 1998, 60(4): 725. [4] Sendur L,Selesnick I W. IEEE Trans. Signal Process., 2002, 50(11): 2744. [5] Pizurica A,Philips W. IEEE Trans. Image Process., 2006, 15(3): 654. [6] Portilla J, Strela V, Wainwright M J, et al. IEEE Trans. Image Process., 2003, 12(11): 1338. [7] Rudin L, Osher S, Fatemi E. Physica D, 1992, 60: 259. [8] Chambolle A. J. Math. Imaging and Vision, 2004, 20 (1-2): 89. [9] Bresson X,Chan T F. Inverse Problems and Imaging, 2008, 2(4): 255. [10] Tschumperlé D, Deriche R. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(4): 506. [11] Liu Peng,Liu Dingsheng,Liu Zhiwen. Source: Proceedings of SPIE, 2010, 7830: 783018. [12] LIU Peng, LIU Ding-sheng(刘 鹏, 刘定生). Acta Optica Sinica(光学学报), 2009, 29(9): 2395. [13] Buades A, Coll B, Morel J M. in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005. 60. [14] Dauwe A, Goossens B, Luong H, et al. in Proc. SPIE Electron. Imag., 2008, 6812: 681210. [15] Brox T, Kleinschmidt O, Cremers D. IEEE Trans. Image Process., 2008,17(7): 1083. [16] Orchard J, Ebrahimi M, Wong A, IEEE Int. Conf. Image Processing (ICIP), San Diego, CA, 2008. [17] Wald L, Ranchin T, Mangolini M. Photogramm. Eng. Remote Sens., 1997, 63(6): 691. [18] Yuhas R H, Goetz A F H, Boardman J W. in Proc. Summaries 4th JPL Airborne Earth Sci. Workshop, 1992. 147. [19] Kruse F A, Boardman J W, Lefkoff A B, et al. Remote Sens. Environ., 1993, 44(2/3): 145. |
[1] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
[2] |
CUI Xiang-yu1, 3, CHENG Lu1, 2, 3*, YANG Yue-ru1, WU Yan-feng1, XIA Xin1, 3, LI Yong-gui2. Color Mechanism Analysis During Blended Spinning of Viscose Fibers Based on Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3916-3923. |
[3] |
CUI Song1, 2, BU Xin-yu1, 2, ZHANG Fu-xiang1, 2. Spectroscopic Characterization of Dissolved Organic Matter in Fresh Snow From Harbin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3937-3945. |
[4] |
FENG Hai-kuan1, 2, FAN Yi-guang1, TAO Hui-lin1, YANG Fu-qin3, YANG Gui-jun1, ZHAO Chun-jiang1, 2*. Monitoring of Nitrogen Content in Winter Wheat Based on UAV
Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3239-3246. |
[5] |
LI Bin, HAN Zhao-yang, WANG Qiu, SUN Zhao-xiang, LIU Yan-de*. Research on Bruise Level Detection of Loquat Based on Hyperspectral
Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1792-1799. |
[6] |
NIU An-qiu, WU Jing-gui*, ZHAO Xin-yu. Infrared Spectrum Analysis of Degradation Characteristics of PPC Plastic Film Under Different Covering Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 533-540. |
[7] |
ZHANG Jian1, LIU Ya-jian2, CAO Ji-hu3. Raman Spectral Characteristics of Pyrite in Luyuangou Gold Deposit, Western Henan Province and Its Indicative Significance for Multiphase Metallogenesis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3770-3774. |
[8] |
ZHANG Heng-ming1, SHI Yu1*, LI Chun-kai1, 2, 3, GU Yu-fen1, ZHU Ming1. The Effect of Electrode Polarity on Arc Plasma Spectral Characteristics of Self-Shielded Flux Cored Arc Welding[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3917-3926. |
[9] |
DAI Qian-cheng1, XIE Yong1*, TAO Zui2, SHAO Wen1, PENG Fei-yu1, SU Yi1, YANG Bang-hui2. Research on Fluorescence Retrieval Algorithm of Chlorophyll a Concentration in Nanyi Lake[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3941-3947. |
[10] |
WANG Dong-sheng1, WANG Hai-long1, 2, ZHANG Fang1, 3*, HAN Lin-fang1, 3, LI Yun1. Near-Infrared Spectral Characteristics of Sandstone and Inversion of Water Content[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3368-3372. |
[11] |
HUANG Yue-hao1, 2, JIN Yong-ze2. Analysis and Research on Spectral Characteristics of the Traditional Architectural Color Painting Pigments in Regong, Qinghai Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3519-3525. |
[12] |
YAN Kang-ting1, 2, HAN Yi-fang1, 2, WANG Lin-lin1, 2, DING Fan3, LAN Yu-bin1, 2*, ZHANG Ya-li2, 3*. Research on the Fluorescence Spectra Characteristics of Abamectin Technical and Preparation Solution[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3476-3481. |
[13] |
CAO Yu-qi2, KANG Xu-sheng1, 2*, CHEN Piao-yun2, XIE Chen2, YU Jie2*, HUANG Ping-jie2, HOU Di-bo2, ZHANG Guang-xin2. Research on Discrimination Method of Absorption Peak in Terahertz
Regime[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3058-3062. |
[14] |
HU Xin-yu1, 2, XU Zhang-hua1, 2, 3, 5, 6*, HUANG Xu-ying1, 2, 8, ZHANG Yi-wei1, 2, CHEN Qiu-xia7, WANG Lin1, 2, LIU Hui4, LIU Zhi-cai1, 2. Relationship Between Chlorophyll and Leaf Spectral Characteristics and Their Changes Under the Stress of Phyllostachys Praecox[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2726-2739. |
[15] |
WANG Ge1, YU Qiang1*, Yang Di2, NIU Teng1, LONG Qian-qian1. Retrieval of Dust Retention Distribution in Beijing Urban Green Space Based on Spectral Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2572-2578. |
|
|
|
|