TB853．9 2005010463 数码像机显示驱动电路的研究与设计=Researeh of digital camera display circuit[刊,中]／李英博(吉林大学电子科学与工程学院．吉林,长春(130023)),荆海…∥液晶与显示．-2004．19(1)．-48-51 根据数码像机的工...TB853．9 2005010463 数码像机显示驱动电路的研究与设计=Researeh of digital camera display circuit[刊,中]／李英博(吉林大学电子科学与工程学院．吉林,长春(130023)),荆海…∥液晶与显示．-2004．19(1)．-48-51 根据数码像机的工作原理和显示驱动电路的结构,应用硬件设计出数码像机显示驱动电路。实现了数据驱动和图像的清晰显示,达到数码相机的技术要求。图4参8 (严寒)展开更多
The objective of this paper is to improve the monitoring speed and precision of fractional vegetation cover (fc). It mainly focuses on fc estimation when fcmax and fcmin are not approximately equal to 100% and 0%, res...The objective of this paper is to improve the monitoring speed and precision of fractional vegetation cover (fc). It mainly focuses on fc estimation when fcmax and fcmin are not approximately equal to 100% and 0%, respectively due to using remote sensing image with medium or low spatial resolution. Meanwhile, we present a new method of fc estimation based on a random set of fc maximum and minimum values from digital camera (DC) survey data and a di- midiate pixel model. The results show that this is a convenient, efficient and accurate method for fc monitoring, with the maximum error -0.172 and correlation coefficient of 0.974 between DC survey data and the estimated value of the remote sensing model. The remaining DC survey data can be used as verification data for the precision of the fc estimation. In general, the estimation of fc based on DC survey data and a remote sensing model is a brand-new development trend and deserves further extensive utilization.展开更多
文摘TB853．9 2005010463 数码像机显示驱动电路的研究与设计=Researeh of digital camera display circuit[刊,中]／李英博(吉林大学电子科学与工程学院．吉林,长春(130023)),荆海…∥液晶与显示．-2004．19(1)．-48-51 根据数码像机的工作原理和显示驱动电路的结构,应用硬件设计出数码像机显示驱动电路。实现了数据驱动和图像的清晰显示,达到数码相机的技术要求。图4参8 (严寒)
基金Projects NCET-04-0484 supported by the New-Century Outstanding Young Scientist Program from the Ministry of Education and D0605046040191-101Beijing Science and Technology Program
文摘The objective of this paper is to improve the monitoring speed and precision of fractional vegetation cover (fc). It mainly focuses on fc estimation when fcmax and fcmin are not approximately equal to 100% and 0%, respectively due to using remote sensing image with medium or low spatial resolution. Meanwhile, we present a new method of fc estimation based on a random set of fc maximum and minimum values from digital camera (DC) survey data and a di- midiate pixel model. The results show that this is a convenient, efficient and accurate method for fc monitoring, with the maximum error -0.172 and correlation coefficient of 0.974 between DC survey data and the estimated value of the remote sensing model. The remaining DC survey data can be used as verification data for the precision of the fc estimation. In general, the estimation of fc based on DC survey data and a remote sensing model is a brand-new development trend and deserves further extensive utilization.
