Time delay and integration （TDI） charge coupled device （CCD） noise sets a fundamental limit on image sensor performance, especially under low illumination in remote sensing applications. After introducing the comp...Time delay and integration （TDI） charge coupled device （CCD） noise sets a fundamental limit on image sensor performance, especially under low illumination in remote sensing applications. After introducing the complete sources of CCD noise, we study the effects of TDI operation mode on noise, and the relationship between different types of noise and number of the TDI stage. Then we propose a new technique to identify and measure sources of TDI CCD noise employing mathematical statistics theory, where theoretical analysis shows that noise estimated formulation converges well. Finally, we establish a testing platform to carry out experiments, and a standard TDI CCD is calibrated by using the proposed method. The experimental results show that the noise analysis and measurement methods presented in this paper are useful for modeling TDI CCDs.展开更多
Data analysis in modern scientific research and practice has shifted from analysing a single dataset to coupling several datasets.We propose and study a kernel regression method that can handle the challenge of hetero...Data analysis in modern scientific research and practice has shifted from analysing a single dataset to coupling several datasets.We propose and study a kernel regression method that can handle the challenge of heterogeneous populations.It greatly extends the constrained kernel regression[Dai,C.-S.,&Shao,J.(2023).Kernel regression utilizing external information as constraints.Statistica Sinica,33,in press]that requires a homogeneous population of different datasets.The asymptotic normality of proposed estimators is established under some conditions and simulation results are presented to confirm our theory and to quantify the improvements from datasets with heterogeneous populations.展开更多
基金Project supported by the National High Technology Research and Development Program of China (Grant No. 2006AA06A208)
文摘Time delay and integration （TDI） charge coupled device （CCD） noise sets a fundamental limit on image sensor performance, especially under low illumination in remote sensing applications. After introducing the complete sources of CCD noise, we study the effects of TDI operation mode on noise, and the relationship between different types of noise and number of the TDI stage. Then we propose a new technique to identify and measure sources of TDI CCD noise employing mathematical statistics theory, where theoretical analysis shows that noise estimated formulation converges well. Finally, we establish a testing platform to carry out experiments, and a standard TDI CCD is calibrated by using the proposed method. The experimental results show that the noise analysis and measurement methods presented in this paper are useful for modeling TDI CCDs.
基金supported by the National Natural Science Foundation of China[Grant Number 11831008]the U.S.National Science Foundation[Grant Number DMS-1914411].
文摘Data analysis in modern scientific research and practice has shifted from analysing a single dataset to coupling several datasets.We propose and study a kernel regression method that can handle the challenge of heterogeneous populations.It greatly extends the constrained kernel regression[Dai,C.-S.,&Shao,J.(2023).Kernel regression utilizing external information as constraints.Statistica Sinica,33,in press]that requires a homogeneous population of different datasets.The asymptotic normality of proposed estimators is established under some conditions and simulation results are presented to confirm our theory and to quantify the improvements from datasets with heterogeneous populations.
