期刊：
International Journal of Remote Sensing,2018年39(21):7350-7369 ISSN：0143-1161
通讯作者：
Li, Chang
作者机构：
[Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.;[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
摘要：
To address the problems of parameter selection and accuracy optimization of models in image rectification, this article first proposes a novel stepwise-then-intelligent algorithm (STIA) for image rectification optimization, which includes the following steps. First, stepwise regression is suggested to simultaneously solve the over-parameterization problem and select the optimum parameters of the polynomial model and rational function model according to different terrains. Second, intelligent algorithms, e.g. the genetic algorithm (GA) and particle swarm optimization (PSO), are proposed to search for better results based on an innovative search range determined by the uncertainty propagation and 3-sigma rule. The experimental results show that the proposed STIA can achieve higher accuracy than conventional methods; and in most cases, the PSO algorithm used in STIA is superior to the GA used in STIA in measures of time and accuracy. Moreover, stepwise-then-PSO algorithm exhibits the best performance of all compared methods, including least squares, stepwise regression, total least squares and partial least squares.
摘要：
The grey value g (x, y)of pixel on radiometric spectrum is regarded as a function of the geometric coordinates (x, y). Hence, there is a unity of opposite relationships between the geometric and radiometric information, such that, these two types of information cannot be separated. Therefore, this paper proposes a novel geometric and radiometric simultaneous correction model (GRSCM) framework inspired and developed from least squares matching (LSM). Based on the Gauss-Markov model, geometric and radiometric correction coefficients are integrated and solved by an iterative method with variable weights in the proposed model. Moreover, many state-of-the-art models and methods can be integrated into the proposed general GRSCM framework. In the GRSCM of this paper, RAN-dom SAmple Consensus (RANSAC), step wise regression and significance testing are integrated and used. The experimental results demonstrate that the accuracy of the GRSCM is significantly improved compared with that of geometric correction and radiometric correction separately.
作者：
Chang Li;Guangping Chen;Jing Luo;Shice Li;Jia Ye
期刊：
International Journal of Remote Sensing,2017年38(21):6007–6029 ISSN：0143-1161
作者机构：
[Jia Ye] School of design, Georgia Institute of Technology, Atlanta, GA, USA;[Chang Li; Guangping Chen; Jing Luo; Shice Li] College of Urban and Environmental Science, Central China Normal University, Wuhan, PR China
摘要：
In this article, the Defence Meteorological Satellite Program Operational Linescan System DMSP-OLS night-time light remotely sensed data on a small scale is proposed to evaluate port economic comprehensive scores PECS for the ports of the major cities, including Shanghai, Nanjing, Wuhan, and Chongqing, in the Yangtze River Valley, China. First, the concept and calculation method of port night-time light intensity PNLI are proposed. Second, an estimation method of PECS is proposed using factor analysis. Third, two regression models i.e. first-and second-order polynomials between PNLI and PECS are built and tested. The goodness-of-fit of the two models are compared, both with and without outliers. Finally, experimental results show that the proposed methods for evaluating PECS in the Yangtze River Valley, China are feasible. Wuhan has the strongest correlation R2 = 0.925 and passes the F-test, Ft = 55.429 >4.26 = Ft 0.05 2, 9; Shanghai has the weakest correlation R2: 0.688 but still passes as well, Ft = 9.944 >4.26 = Ft0.05 2, 9. Factors confounding the correlation for Shanghai are discussed. Overall, this study not only proposes a new set of methods to evaluate the performance of port economies but also provides a feasible way to use DMSP-OLS data to study the geographic problems of small scales. In this article, the Defence Meteorological Satellite Program Operational Linescan System DMSP-OLS night-time light remotely sensed data on a small scale is proposed to evaluate port economic comprehensive scores PECS for the ports of the major cities, including Shanghai, Nanjing, Wuhan, and Chongqing, in the Yangtze River Valley, China. First, the concept and calculation method of port night-time light intensity PNLI are proposed. Second, an estimation method of PECS is proposed using factor analysis. Third, two regression models i.e. first-and second-order polynomials between PNLI and PECS are built and tested. The goodness-of-fit of the two models are compared, both with and without outliers. Finally, experimental results show that the proposed methods for evaluating PECS in the Yangtze River Valley, China are feasible. Wuhan has the strongest correlation R2 = 0.925 and passes the F-test, Ft = 55.429 >4.26 = Ft 0.05 2, 9; Shanghai has the weakest correlation R2: 0.688 but still passes as well, Ft = 9.944 >4.26 = Ft0.05 2, 9. Factors confounding the correlation for Shanghai are discussed. Overall, this study not only proposes a new set of methods to evaluate the performance of port economies but also provides a feasible way to use DMSP-OLS data to study the geographic problems of small scales.
期刊：
International Journal of Remote Sensing,2017年38(21):6007-6029 ISSN：0143-1161
通讯作者：
Li, Chang
作者机构：
[Luo, Jing; Chen, Guangping; Li, Shice; Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.;[Luo, Jing; Chen, Guangping; Li, Shice; Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.;[Ye, Jia] Georgia Inst Technol, Sch Design, Atlanta, GA 30332 USA.;[Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal Simulat, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Key Lab Geog Proc Anal Simulat, Wuhan, Hubei, Peoples R China.
摘要：
In this article, the Defence Meteorological Satellite Program Operational Linescan System DMSP-OLS night-time light remotely sensed data on a small scale is proposed to evaluate port economic comprehensive scores PECS for the ports of the major cities, including Shanghai, Nanjing, Wuhan, and Chongqing, in the Yangtze River Valley, China. First, the concept and calculation method of port night-time light intensity PNLI are proposed. Second, an estimation method of PECS is proposed using factor analysis. Third, two regression models i.e. first-and second-order polynomials between PNLI and PECS are built and tested. The goodness-of-fit of the two models are compared, both with and without outliers. Finally, experimental results show that the proposed methods for evaluating PECS in the Yangtze River Valley, China are feasible. Wuhan has the strongest correlation R2 = 0.925 and passes the F-test, Ft = 55.429 >4.26 = Ft 0.05 2, 9; Shanghai has the weakest correlation R2: 0.688 but still passes as well, Ft = 9.944 >4.26 = Ft0.05 2, 9. Factors confounding the correlation for Shanghai are discussed. Overall, this study not only proposes a new set of methods to evaluate the performance of port economies but also provides a feasible way to use DMSP-OLS data to study the geographic problems of small scales.
期刊：
International Journal of Remote Sensing,2017年38(11):3430-3444 ISSN：0143-1161
通讯作者：
Li, Chang
作者机构：
[Zheng, Yanping; Wu, Yijin; Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Hubei, Peoples R China.;[Zheng, Yanping; Wu, Yijin; Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Hubei, Peoples R China.
通讯机构：
[Li, Chang] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat, Hubei, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Hubei, Peoples R China.
摘要：
To improve the usability of Enhanced Thematic Mapper Plus ETM+ scan line corrector SLC-off data, this article proposes using HJ-1A/1B imagery as auxiliary i.e. reference data to recover the SLC-off ETM+ data. The least-median-of-squares LMedS method is newly proposed to recover missing pixels of Landsat 7 by removing the variant or abnormal digital number values. In particular, for the visible and near-infrared bands, using HJ-1A/1B for recovery has three clear advantages: the same spatial resolution, similar spectral resolution, and approximate temporal resolution. The experiments show that all of the reference-recovery methods are better than the non-reference-recovery method. The results of using of auxiliary data in reference-recovery methods, from best to worst, are Landsat 8, HJ-1A/1B, and Landsat 7. However, for recovering missing pixels, HJ-1A/1B is superior to the ETM+ auxiliary data due to the shorter time interval in Landsat 7 a few hours. Hence, HJ-1A/1B should be considered a useful auxiliary data to recover ETM+ SLC-off imagery data. To improve the usability of Enhanced Thematic Mapper Plus ETM+ scan line corrector SLC-off data, this article proposes using HJ-1A/1B imagery as auxiliary i.e. reference data to recover the SLC-off ETM+ data. The least-median-of-squares LMedS method is newly proposed to recover missing pixels of Landsat 7 by removing the variant or abnormal digital number values. In particular, for the visible and near-infrared bands, using HJ-1A/1B for recovery has three clear advantages: the same spatial resolution, similar spectral resolution, and approximate temporal resolution. The experiments show that all of the reference-recovery methods are better than the non-reference-recovery method. The results of using of auxiliary data in reference-recovery methods, from best to worst, are Landsat 8, HJ-1A/1B, and Landsat 7. However, for recovering missing pixels, HJ-1A/1B is superior to the ETM+ auxiliary data due to the shorter time interval in Landsat 7 a few hours. Hence, HJ-1A/1B should be considered a useful auxiliary data to recover ETM+ SLC-off imagery data.
作者机构：
[李桂娥; 朱昱佳; 李畅] Key Laboratory for Geographical Process Analysis and Simulation, College of City and Environmental Science, Central China Normal University, Wuhan, Hubei Province, 430079, China
关键词：
交通网络;长度-半径维数模型;不确定性;质量控制;误差传播
摘要：
长度-半径维数模型作为描述城市交通网络复杂不确定性现象的一种分形分维方法,其自身存在的不确定性往往被忽视,且相关研究更是鲜见报道。故针对该模型在分形维数测算全过程中存在的不确定性问题,本文率先开展了系统剖析、定量估计和质量控制研究。首先对数据源、矢量化处理、测算中心、尺度选择、以及分维数模型估计等一系列环节进行了不确定性估计与分析,其中首次给出了分形维数在一定置信水平下的不确定性度量区间,并依据误差传播理论对误差的传递和累积进行了描述;然后着重提出了基于LMedS(Least Median of Squares)的质量控制方法。最后通过对拉萨市的算例实验表明:道路的矢量化过程、测算中心和测算尺度的选择都会导致分维的不确定性;并在对数据质量进行控制的基础上,通过置信区间对长度-半径维数模型的不确定性进行了在一定概率水平下的首次度量;同时结合区域现状对研究结果给出了合乎实际的解释。本文在描述表征不确定性问题的分形几何和分形维数的基础上,系统地揭示了其自身不确定性的本质,不仅进一步丰富了分形分维理论,为控制其质量奠定理论基础,而且可为城市交通网络分形维数的地学应用提供可靠的科学依据。
作者机构：
[Zhu, Yujia; Li, Guie; Wu, Yijin; Li, Chang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.;[Ge, Yong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.;[Kung, Hsiang-te] Univ Memphis, Dept Earth Sci, Memphis, TN 38152 USA.
通讯机构：
[Wu, Yijin] C;Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
关键词：
DMSP/OLS nighttime light data;Likelihood-based spatial statistical transformation model (LBSSTM);Time series analysis;Prediction;ESDA;Spatial cross correlation
摘要：
In a regional economy, the central city of a metropolitan area has a radiative effect and an accumulative effect on its surrounding cities. Considering the limitations of traditional data sources (e.g., its subjectivity) and the advantages of nighttime light data, including its objectivity, availability and cyclicity, this paper proposes a likelihood spatial statistical transformation model (LBSSTM) to invert for the gross domestic product (GDP) of the surrounding cities, using time series of Sum of Lights (SOL) data covering the central city and taking advantage of the economic and spatial association between the central city and the surrounding cities within a metropolitan area and the correlation between SOL and GDP. The Wuhan Metropolitan Area is chosen to verify the model using time series analysis and exploratory spatial data analysis (ESDA). The experimental results show the feasibility of the proposed LBSSTM. The prediction accuracy of our model is verified by cross-validation using data from 1998, 2004 and 2011, based on the 3 sigma rule. This model can quantitatively express the agglomeration and diffusion effect of the central city and reveal the spatial pattern of this effect. The results of this work are potentially useful in making spatiotemporal economic projections and filling in missing data from some regions, as well as gaining a deeper quantitative and spatio-temporal understanding of the laws underlying regional economic development. (C) 2017 Elsevier B.V. All rights reserved.
通讯机构：
[Li, Chang] K;[Li, Chang] C;Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
摘要：
There are two major problems in Rational Function Model (RFM) solution: (a) Data source error, including gross error, random error, and systematic error; and (b) Model error, including over-parameterization and over-correction issues caused by unnecessary RFM parameters and exaggeration of random error in constant term of error-in-variables (EIV) model, respectively. In order to solve two major problems simultaneously, we propose a new approach named stepwise-thenorthogonal regression (STOR) with quality control. First, RFM parameters are selected by stepwise regression with gross error detection. Second, the revised orthogonal distance regression is utilized to adjust random error and address the overcorrection problem. Third, systematic error is compensated by Fourier series. The performance of conventional strategies and the proposed STOR are evaluated by control and check grids generated from SPOT5 high-resolution imagery. Compared with the least squares regression, partial least squares regression, ridge regression, and stepwise regression, the proposed STOR shows a significant improvement in accuracy.
期刊：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives,2017年42(2W7):373-378 ISSN：1682-1750
通讯作者：
Li, Chang(lcshaka@126.com)
作者机构：
[Li, Chang] Key Laboratory for Geographical Process Analysis and Simulation, Hubei Province, Central China Normal University, Wuhan, China;[Kang, Zhizhong] School of Land Science and Technology, China University of Geosciences, Xueyuan Road 29, Haidian District, Beijing, 100083, China;[Wang, Tianli; Li, Guie; Deng, Yong; Li, Chang] College of Urban and Environmental Science, Central China Normal University, Wuhan, China
摘要：
With the rapid development of LBS (Location-based Service), the demand for commercialization of indoor location has been increasing, but its technology is not perfect. Currently, the accuracy of indoor location, the complexity of the algorithm, and the cost of positioning are hard to be simultaneously considered and it is still restricting the determination and application of mainstream positioning technology. Therefore, this paper proposes a method of knowledge-based optimization of indoor location based on low energy Bluetooth. The main steps include: 1) The establishment and application of a priori and posterior knowledge base. 2) Primary selection of signal source. 3) Elimination of positioning gross error. 4) Accumulation of positioning knowledge. The experimental results show that the proposed algorithm can eliminate the signal source of outliers and improve the accuracy of single point positioning in the simulation data. The proposed scheme is a dynamic knowledge accumulation rather than a single positioning process. The scheme adopts cheap equipment and provides a new idea for the theory and method of indoor positioning. Moreover, the performance of the high accuracy positioning results in the simulation data shows that the scheme has a certain application value in the commercial promotion.<br/>
