针对遥感图像数据产生和传输过程中的去噪需求,作者提出一种基于量子衍生研究方向的遥感图像去噪算法,并通过实验方法对该算法的精度提升幅度进行了验证。该算法的实验验证过程包括:首先,对已知图像进行噪声添加,对添加噪声图像数据进...针对遥感图像数据产生和传输过程中的去噪需求,作者提出一种基于量子衍生研究方向的遥感图像去噪算法,并通过实验方法对该算法的精度提升幅度进行了验证。该算法的实验验证过程包括:首先,对已知图像进行噪声添加,对添加噪声图像数据进行对数变换后再进行双密度双树复小波变换;然后,利用贝叶斯理论对变换后的系数进行去噪,再采用最大后验概率(Maxaposterior,MAP)估计双树复小波的方差;最后,通过双树复小波反变换得到去噪后的图像数据,将这些变换过程中得到数据结果与源图像数据进行对比分析,得出该算法的实验结果。实验结果证明该算法的峰值信噪比(Peak Signal to Noise Ratio,PSNR)比其他文献提高2 dB以上,边缘保持指数(Edge Preservation Index,EPI)也高于普通方法的0.1以上。展开更多
量子遥感是来自量子世界的遥感新技术,它反映遥感在量子层次上运动规律的理论与方法。量子遥感以量子力学为理论基础,以薛定谔方程和量子态为表达方式,以多时空、动态的行星-地球系统为研究对象,以量子遥感理论、信息、实验、成像、计...量子遥感是来自量子世界的遥感新技术,它反映遥感在量子层次上运动规律的理论与方法。量子遥感以量子力学为理论基础,以薛定谔方程和量子态为表达方式,以多时空、动态的行星-地球系统为研究对象,以量子遥感理论、信息、实验、成像、计算、测量、量子光谱遥感和量子遥感应用等为主体的技术系统为研究内容,研究如何用量子态表达和传递信息,直至人们感知接收。2000年3月,毕思文教授开展量子遥感探索研究。2001年初,毕思文教授首次在国际上提出量子遥感的概念。20年来,经过了基础理论、科学实验和关键技术三个阶段,在克服了理论研究、科学实验和关键技术等诸多难题,量子遥感取得了突破性的进展和创新性的成果。2019年8月,首届量子遥感国际会议在国际光学与光子学会(The International Society for Optics and Photonics,SPIE)会议上召开,30多位来自相关领域的知名专家学者围绕量子遥感发展与应用结合等问题进行了深入的探讨。此次会议充分表明量子遥感的发展迈上了新台阶和国际社会对量子遥感的高度认可。本文从量子遥感基础理论、研究方法与技术、应用与安全性以及未来发展前景等议题讨论量子遥感发展与应用新态势,并指出量子遥感将成为下一代遥感科学技术的重要前沿方向。作为一门具有学科高度并引领未来学科发展方向的技术,量子遥感在提高空间分辨率、光谱分辨率、时间分辨率和深入应用等方面效果显著,其研究进展和研究成果在对地观测、国家安全、航天航空、监测探测等领域发挥了积极作用。同时本文也吸收了国外的相关研究情况,以加强中外合作交流,共同促进量子遥感的研究、发展与应用再上新高度。展开更多
For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological...For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.展开更多
文摘针对遥感图像数据产生和传输过程中的去噪需求,作者提出一种基于量子衍生研究方向的遥感图像去噪算法,并通过实验方法对该算法的精度提升幅度进行了验证。该算法的实验验证过程包括:首先,对已知图像进行噪声添加,对添加噪声图像数据进行对数变换后再进行双密度双树复小波变换;然后,利用贝叶斯理论对变换后的系数进行去噪,再采用最大后验概率(Maxaposterior,MAP)估计双树复小波的方差;最后,通过双树复小波反变换得到去噪后的图像数据,将这些变换过程中得到数据结果与源图像数据进行对比分析,得出该算法的实验结果。实验结果证明该算法的峰值信噪比(Peak Signal to Noise Ratio,PSNR)比其他文献提高2 dB以上,边缘保持指数(Edge Preservation Index,EPI)也高于普通方法的0.1以上。
文摘量子遥感是来自量子世界的遥感新技术,它反映遥感在量子层次上运动规律的理论与方法。量子遥感以量子力学为理论基础,以薛定谔方程和量子态为表达方式,以多时空、动态的行星-地球系统为研究对象,以量子遥感理论、信息、实验、成像、计算、测量、量子光谱遥感和量子遥感应用等为主体的技术系统为研究内容,研究如何用量子态表达和传递信息,直至人们感知接收。2000年3月,毕思文教授开展量子遥感探索研究。2001年初,毕思文教授首次在国际上提出量子遥感的概念。20年来,经过了基础理论、科学实验和关键技术三个阶段,在克服了理论研究、科学实验和关键技术等诸多难题,量子遥感取得了突破性的进展和创新性的成果。2019年8月,首届量子遥感国际会议在国际光学与光子学会(The International Society for Optics and Photonics,SPIE)会议上召开,30多位来自相关领域的知名专家学者围绕量子遥感发展与应用结合等问题进行了深入的探讨。此次会议充分表明量子遥感的发展迈上了新台阶和国际社会对量子遥感的高度认可。本文从量子遥感基础理论、研究方法与技术、应用与安全性以及未来发展前景等议题讨论量子遥感发展与应用新态势,并指出量子遥感将成为下一代遥感科学技术的重要前沿方向。作为一门具有学科高度并引领未来学科发展方向的技术,量子遥感在提高空间分辨率、光谱分辨率、时间分辨率和深入应用等方面效果显著,其研究进展和研究成果在对地观测、国家安全、航天航空、监测探测等领域发挥了积极作用。同时本文也吸收了国外的相关研究情况,以加强中外合作交流,共同促进量子遥感的研究、发展与应用再上新高度。
基金supported by the Guangxi Natural Science Foundation(2020GXNSFAA297266)Doctoral Research Foundation of Guilin University of Technology(GUTQDJJ2007059)Guangxi Hidden Metallic Mineral Exploration Key Laboratory。
文摘For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.
