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Y. Jingfeng, “An Improved Adaptive Differential Evolution Algorithm,” Journal of XuChang university, vol. 33, no. 2, pp.74–77, Mar 2014.JingfengY.“An Improved Adaptive Differential Evolution Algorithm,”Journal of XuChang university3327477Mar2014Search in Google Scholar
M. Guanjun, D. Haibin, L. Senqi, Y. Yaxiang, “UCAV Path Planning Based on MAX-MIN Self-adaptive Ant Colony Optimization,” Acta Aeronautica et Astronautica Sinica, vol. 29, pp.243–248, May 2008.GuanjunM.HaibinD.SenqiL.YaxiangY.“UCAV Path Planning Based on MAX-MIN Self-adaptive Ant Colony Optimization,”Acta Aeronautica et Astronautica Sinica29243248May2008Search in Google Scholar
Z. Bo, S. Lanxiang, Y. Haibin, X. yong, and C. Zhibo, “A method for improving wavelet threshold denoising in laser-induced breakdown spectroscopy,” Spectrochimica Acta Part B: Atomic Spectroscopy, vol.107, pp.32–44, May 2015.BoZ.LanxiangS.HaibinY.yongX.ZhiboC.“A method for improving wavelet threshold denoising in laser-induced breakdown spectroscopy,”Spectrochimica Acta Part B: Atomic Spectroscopy1073244May2015Search in Google Scholar
L. Hui, W. Weida, X. Changle, H. Lijin, and N. Haizhao, “A de-noising method using the improved wavelet threshold function based on noise variance estimation,” Mechanical Systems and Signal Processing, vol.99, pp. 30–46, Jan 2018.HuiL.WeidaW.ChangleX.LijinH.HaizhaoN.“A de-noising method using the improved wavelet threshold function based on noise variance estimation,”Mechanical Systems and Signal Processing993046Jan2018Search in Google Scholar
Z. Bing, and N. Shihong, “A Method of Pretreatment of Flight Data Based on Wavelet Analysis,” Journal of missile and guidance, pp. 457–459, Aug 2015.BingZ.ShihongN.“A Method of Pretreatment of Flight Data Based on Wavelet Analysis,”Journal of missile and guidance457459Aug2015Search in Google Scholar
L. Jian, W. Jingjing, “Path Smoothness Algorithm Based on Improved Kalman Filter,” Radio Engineering, vol. 45, no. 5, pp.20–23, Apr 2015.JianL.JingjingW.“Path Smoothness Algorithm Based on Improved Kalman Filter,”Radio Engineering4552023Apr2015Search in Google Scholar
S. Wentao and Z. Dan, “Noise reduction of ECG using spatial correlation filtering and stationary wavelet transform,” 2010 5th International Conference on Computer Science & Education, pp. 1085–1088, Sep 2010.WentaoS.DanZ.“Noise reduction of ECG using spatial correlation filtering and stationary wavelet transform,”2010 5th International Conference on Computer Science & Education10851088Se 2010.Search in Google Scholar
Z. Ruizhao, and C. Huimin, “Improved Threshold Denoising Method Based on Wavelet Transform,” Physics Procedia, vol.33, no.1, pp.1354–1359, Jun 2012.RuizhaoZ.HuiminC.“Improved Threshold Denoising Method Based on Wavelet Transform,”Physics Procedia33113541359Jun2012Search in Google Scholar
R. Chao, S. Lei, L. Xianjian, “An Adaptive Wavelet Thresholding De-noising for Deformation Analysis,” Geomatics And Information Science Of Wuhan University,, vol.37, no. 7. Pp. 873–875. Jul 2012.ChaoR.LeiS.XianjianL.“An Adaptive Wavelet Thresholding De-noising for Deformation Analysis,”Geomatics And Information Science Of Wuhan University377873875Jul2012Search in Google Scholar
S. Ruixia, L. da, and W. Xiaochun, “Low Illumination Image Enhancement Algorithm Based on HSI Color Space,” Journal of Grahics, vol.38, no. 02, pp. 217–223, Apr 2017.RuixiaS.daL.XiaochunW.“Low Illumination Image Enhancement Algorithm Based on HSI Color Space,”Journal of Grahics3802217223Apr2017Search in Google Scholar
Z. Fengbo, Z. Hongqiu, and L. Changgeng, “A pretreatment method based on wavelet transform for quantitative analysis of UV-vis spectroscopy,” Optik - International Journal for Light and Electron Optics, vol.182, pp.786–792, Apr 2019.FengboZ.HongqiuZ.ChanggengL.“A pretreatment method based on wavelet transform for quantitative analysis of UV-vis spectroscopy,”Optik - International Journal for Light and Electron Optics182786792Apr2019Search in Google Scholar
SHANG Li, ZHOU Yan, CHEN Jie, SUN Zhan-li. Image Denoising Using a Modified LNMF Algorithm [J], International Conference on Computer Science & Service System (CSSS), 2012: 1840–1843.SHANGLiZHOUYanCHENJieSUNZhan-liImage Denoising Using a Modified LNMF Algorithm [J]International Conference on Computer Science & Service System (CSSS)201218401843Search in Google Scholar
FENG De-shan, DAI Qian-wei1, YU Kai1, GPR signal processing under low SNR based on empirical mode decomposition [J], Journal of Central South University (Science and Technology), 2012(02): 596–603.FENGDe-shanDAIQian-wei1YUKai1GPR signal processing under low SNR based on empirical mode decomposition [J]Journal of Central South University (Science and Technology)201202596603Search in Google Scholar
Omitaomu Olufemi A, Protopopescu Vladimir A, Ganguly Auroop R. Empirical Mode Decomposition Technique With Conditional Mutual Information for Denoising Operational Sensor Data [J], Sensors Journal, 2011(11): 2565–2575.Omitaomu OlufemiAProtopopescu VladimirAGanguly AuroopREmpirical Mode Decomposition Technique With Conditional Mutual Information for Denoising Operational Sensor Data [J]Sensors Journal20111125652575Search in Google Scholar
Mouna Samaan, Stephen Cook. The Generation of Telemetry Frame Formats in a User-Friendly Environment, 1997, 337–341.SamaanMounaCookStephenThe Generation of Telemetry Frame Formats in a User-Friendly Environment1997337341Search in Google Scholar
Nicholas J. Murray, David A. The role of satellite remote sensing in structured ecosystem risk assessments. Science of the Total Environment, 2017.MurrayNicholas J.DavidA.The role of satellite remote sensing in structured ecosystem risk assessmentsScience of the Total Environment2017Search in Google Scholar
Ake Rosenqvist, Anthony Milne, Richard Lucas. A review of remote sensing technology in support of the Kyoto Protocol, Environmental Science & Policy 6(2003)441–455.RosenqvistAkeMilneAnthonyLucasRichardA review of remote sensing technology in support of the Kyoto ProtocolEnvironmental Science & Policy62003441455Search in Google Scholar
Adam C. Watts, Vincent G, Ambrosia, Everett A. Hinkley. Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use, Remote Sens. 2012, 4, 1671–1692.WattsAdam C.AmbrosiaVincent G.HinkleyEverett A.Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of UseRemote Sens.2012416711692Search in Google Scholar
Esther Salami, Cristina Barrado, Enric Pastor. UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas, Remote Sens. 2014, 6, 11051–11081.SalamiEstherBarradoCristinaPastorEnricUAV Flight Experiments Applied to the Remote Sensing of Vegetated AreasRemote Sens.201461105111081Search in Google Scholar
Ken Whitehead, Chris H. Hugenholtz. Remote Sensing of the Environment with Small Unmanned Aircraft Systems (UASs), Part1: A review of progress and challenges.WhiteheadKenHugenholtzChris H.Remote Sensing of the Environment with Small Unmanned Aircraft Systems (UASs), Part1: A review of progress and challengesSearch in Google Scholar