最新刊期
卷 15 ， 期 3 ， 2011
- 摘要：This paper analyzes the disadvantages of the current remote sensing satellite systems,and describes the concept of the latest generation "intelligent remote sensing satellite system" and its main characteristics which mainly includes:（1） the adaptive remote sensor system;（2） the onboard real-time data processing system;and also introduces the key scientific issues and the key technologies involved.This paper presents the design of an intelligent hyperspectral satellite payload system with adaptive imaging and application mode optimization capacity,which consists of three parts:（1） a fore-field pre-judgment sensor for regional background information acquisition;（2） a main sensor for detailed surface observations;（3） an onboard real-time data processing and analysis subsystem.It also introduces the working principles and processes of intelligent hyperspectral satellite,and calls for the research on some frontier scientific theories and key technologies related to the intelligent remote sensing satellite system in an early stage to realize the leap-forward development in the field of remote sensing satellite in China.
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发布时间：2021-06-10 - 摘要：Bidirectional Reflectance Distribution Function（BRDF） shape indicators of Moderate Resolution Imaging Spectroradiometer（MODIS） are among MODIS BRDF/Albedo products and are helpful in expanding the application of BRDF remote sensing data.This paper evaluates the MODIS BRDF shape indicators with the statistical analysis methods by using various collected ground BRDF datasets and MODIS products.Our result presents several major findings:（1） the MODIS BRDF shape indicators contain the information regarding 3-D structure of land surface and have the possibility to retrieve the structural parameters of the land surface;（2） the MODIS BRDF shape indicators are intrinsically three-dimensional.Since Anisotropic Index（ANIX） is highly related to Anisotropic Factor（ANIF） and has wider value range than the ANIF,the ANIF may be removed from the MODIS BRDF shape indicator products for refinement of the MODIS BRDF/Albedo products;（3） Anisotropic Flat Index（AFX） is related to basically scattering types of land surface with low within-class variances,so it is considered to be more useful in improving land cover classification accuracy.关键词：MODIS;BRDF;BRDF shape indicators;vegetation structure;vegetation index
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发布时间：2021-06-10 - 摘要：A novel spatio-temporal outlier detection method within the space-time framework is proposed in this paper.Firstly,a unified framework is developed for constructing spatio-temporal neighborhood,which is based on the space-time statistics and clustering analysis.Then,a spatio-temporal outlier measure involving space-time autocorrelation and heterogeneity is presented.Finally,a tree-step strategy is utilized to detect spatio-temporal outliers.Our method is employed to detect spatio-temporal outliers in Chinese annual temperature database（1970—2002）.A meaningful analysis of the spatio-temporal outliers is also provided.关键词：spatio-temporal outlier detection;spatio-temporal neighborhood;space-time statistics;clustering analysis
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发布时间：2021-06-10 - 摘要：This paper presents a new method for calibrating urban cellular automata（CA） using ensemble Kalman filter（EnKF） of data assimilation.In CA modeling,the key issue is defining transition rules,which usually consist of many variables and parameters.There are many uncertainties in determining parameter values and the transition rules are deterministic and unchanged during the modeling process.As a result,the model errors would accumulate continuously in the simulation.The paper introduces the ensemble Kalman filter of data assimilation into CA model,and a data assimilation CA model based on ensemble Kalman filter was established.After using the model,the paper can derive analyzed values by merging information from remotely sensed observations with CA model predictions,and modify the simulated results closer to actual situation based on the analysis values.The proposed model has been tested in Dongguan,a city in the Pearl River Delta of Southern China.Experiments indicate that the method can reduce the model error in the simulation and help to generate more reliable simulation results by comparing variance,accuracy and kappa coefficient.关键词：cellular automata（CA）;geography simulation;urban expansion;data assimilation;ensemble Kalman filter（EnKF）
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发布时间：2021-06-10 - 摘要：Choosing the optimal spatial scale is one of the crucial issues in the field of remote sensing.In this paper,an approach,which is based on texture frequency analysis is proposed to determine the optimal spatial scale for high resolution imagery.Firstly,four typical geo-objects are used to analyze their frequency properties of the response to the Fourier transform domain.Secondly,the original image is up-scaled to different spatial resolutions using point spread function.The adequate spatial scale is chosen according to the change patterns in the radius distribution and angle distribution curves of geo-object texture with up-scaling.Finally,the separability among four types of geo-objects at six scales is analyzed based on the texture feature to approve the feasibility of the new method.The object-based classification of the QuickBird panchromatic image by means of SVM is implemented,and results of experiment demonstrate that the higher accuracy can be obtained at the optimal spatial scale.关键词：Texture;frequency analysis;up-scaling;choosing of optimal spatial scale
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发布时间：2021-06-10 - 摘要：To overcome the disadvantage of non-partitioned geo-cellular automata（GeoCA） modeling,a partitioned GeoCA based on dual-constraint spatial cluster is discussed in this paper.Comparing with the traditional spatial cluster method,dualconstraint spatial cluster concerns not only spatial distance but also the likelihood of attributes between objects.Under the partitioned GeoCA based on dual-constraint spatial cluster modeling framework,cellular space is departed into several partitions by dual-constraint spatial cluster.And then,a set of transfer rules corresponding to each partition are calculated accordingly.Later on,Hangzhou City is selected as the study area and the Partitioned GeoCA modeling based on dual-constraint spatial cluster is employed to simulate the land use change during the period between 2000 and 2005.The study area of Hangzhou is divided into 5 partitions by using K-Means cluster algorithm according to both spatial distance and attribute likelihood,and C5.0 decision tree is employed to obtain the cellular transferring rules for each partition for the study area.In each partition,corresponding cellular transferring rules are employed to drive GeoCA to run simulation.Finally,confusion matrix and Moran I index are calculated to evaluate the accuracy of simulated results by using the GeoCA model.Results show that the accuracy by using the partitioned GeoCA modeling based on dual-constraint spatial cluster owns higher simulation accuracy compared with those simulated based on non-partitioned GeoCA simulation and the partitioned GeoCA based on the traditional spatial cluster.Besides,when Moran’s I index is employed to evaluate the accuracy of simulation result;the result of partitioned GeoCA modeling based on dual-constraint spatial cluster is closer to the real land use pattern.The empirical study shows that a more accurate simulation result can be achieved by using the partitioned GeoCA modeling based on dual-constraint spatial cluster.关键词：Geography;GeoCA;dual-constraint spatial cluster;partition;Hangzhou City
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发布时间：2021-06-10 - 摘要：This manuscript has the merits of providing a useful means to identify plant species of urban landscape vegetation from high-resolution remote sensing images.The study designed and selectively tested an array of quantitative descriptors calculated using spectral,textural,and shape characteristics of image objects.These descriptors,theoretically independent of image types and acquisition environment,may significantly improve the capacity of machine learning and discrimination of some classifiers.The demo cases indicated that with a combination of four such descriptors to identify plant species,the error rate is no more than 5.8% while comparing 25.9% with the conventional spectrum-based approach.关键词：urban landscape vegetation;identification of plant species;machine discrimination;quantitative descriptor;grid
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发布时间：2021-06-10 - 摘要：The method of strict slope threshold algorithm is not sufficient to achieve complex object identification or ground features classification from LiDAR data.In this research,artificial intelligence is used to classify the ground features based on the LiDAR height texture.Average elevation image,average intensity image and ground roughness index image are derived from LiDAR points.Then,4 GLCM texture features including entropy,various,second moment and homogeneity texture are measured.Finally,BP-ANNs are used to classify the texture measure into five ground feature types.A coastal area of Zhujiang Delta,South of China,is taken as the study area.The method employed in this research can efficiently work with single LiDAR data source and the accuracy of classification result is > 90%,and the classification accuracy of Maximal Likelihood method（ML） is 86.8% for comparison.When the result of ANNs classification is compared with the result of optical image classification,it can be found that 76.5% sample points are in accord.关键词：LiDAR;height texture;Artificial Neural Network（ANNs）;ground roughness index;classification
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发布时间：2021-06-10 - 摘要：Based on Microsoft VS 2008 C ++ platform,the least squares surface matching algorithm for airborne the LiDAR strip adjustment is realized.It refers to and improves Robert’s 3D surface matching algorithm by introducing the Gauss-Markoff model,acquiring the unbiased minimum variance estimation for the transformation parameters between adjacent strips.The real different data sets are used to validate the method.We study the need for using Gauss-Markoff model,efficiency and iterative convergence of the algorithm,the matching accuracy.The experimental results demonstrate that after correction the point clouds show much better alignment and the vertical matching error is less than 0.05 m for idea data,while poor quality data the error is slightly larger.
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发布时间：2021-06-10 - 摘要：In this paper,methods of retrieving total column water vapor by using sun photometer are described in detail,which include single-channel method and double-channel method,and the latter can be achieved by using different non-water channel.The influence of aerosol optic depth and Rayleigh are considered,and the data acquired by radiosonde are used as true value of total column water vapor.Analysis on errors shows the retrieved results are very close by using varied methods.In practice,each method can be equally used to retrieve columnar water vapor content.关键词：total column water vapor;aerosol optical thickness;Sun Photometer;relative air mass;rayleigh scattering
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发布时间：2021-06-10 - 摘要：Other than the reflectance comparing to natural vegetation,various types of crop have their own representative phenological calendar features.This dramatic change of crops along seasons makes a great difference to the regular order changes of natural vegetation.MODIS-VI time series become the best indicator for these phonological features.In this paper,a new crop area index,called Pan-CPI,is proposed to reflect the quantitative functional relationship between the MODIS-EVI time series and crop planted area.The research region is located at Tongzhou,Beijing and its surrounding areas.The winter wheat planted area was determined by the key parameters of the Pan-CPI model from the samples collected by TM images and MODIS-EVI time series.The results demonstrated that:（1） The Pan-CPI model can well monitor the goal crop area and provide a new method for crop area estimation based on MODIS-EVI time series.（2） Accuracy analysis shows that:As long as the population of samples meet the requirement of model calculation（for example:5%）,the Pan-CPI model has a high stability to get a high consistency between multiple measurements and will not be influenced by different samples.While the size of stats window is 6×6 MODIS pixels,the multiple correlation coefficient（R 2） reach above 0.85.Compared with the result of TM,the Overall Windows Accuracy stabilizes at around 95%,Total Quantity Accuracy stabilizes above 92% and Post-Adjusted Total Quantity Accuracy reaches up to 96%.（3） For the area with complex,fragmental cultivation structure,the Pan-CPI model can provide a more reasonable crop area estimation than those results fromTM,which may easily be influenced by the loss of images in key phenology phases.关键词：crop area estimation;MODIS;time series;Pan-CPI;TM
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发布时间：2021-06-10 - 摘要：Land cover in Kenya is in a state of flux at different spatial and temporal scales.This compromises environmental integrity and socioeconomic stability of the population hence increasing their vulnerability to the externalities of environmental change.The Oroba-Kibos catchment area in western Kenya is one locality where rapid land use changes have taken place over the last 30 years.The shrubs,swamps,natural forests and other critical ecosystems have been converted on the altar of agriculture,human settlement,fuel wood and timber.This paper presents the results of a study that aimed at providing spatially-explicit information for effective remedial response through（a） Mapping the land cover;（b） Identifying the spatial distribution of land cover changes;（c） Determining the nature,rates and magnitude of the land cover changes,and;（d） Establishing the drivers of land use leading to land cover changes in Oroba-Kibos catchment area.Bi-temporal Landsat TM imagery,field observation,household survey and ancillary data were obtained.Per-field classification of the Landsat TM imagery was performed in a GIS and the resultant land cover maps assessed using the field observation data.Post-classification comparison of the maps was then done to detect changes in land cover that had occurred between 1994 and 2008.SPSS was used to analyze the household survey data and attribute the detected land cover changes to their causes.The findings showed that 9 broad classes characterize the catchment area including the natural forests,swamps,natural water bodies,woodlands,shrublands,built-up lands,grasslands,bare lands and croplands.Croplands are dominant and accounted for about 65%（57122 ha） of the total land in 1994,which increased at the rate of 0.89% to 73%（64772 ha） in 2008,while natural water bodies has the least spatial coverage accounting for about 0.6%（561 ha） of the total land in 1994,which diminished at the rate of 3.57% to 0.3%（260 ha） in 2008.Climate,altitude,access and rights to land,demographic changes,poverty,political governance,market availability and economic returns are the interacting mix of proximate and underlying factors that drive the land cover changes in Oroba-Kibos catchment area.
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发布时间：2021-06-10 - 摘要：On the basic of the land use map of Bohai Sea coastal zone area in 1995, 2000, 2005 and 2008 from remote sensing images such as TM, CBERS, this paper analyses the land use dynamic and its landscape response of Bohai Sea coastal zone area in recent thirteen years by method of GIS and landscape ecology. The conclusions are got as follows. （1） The maximum annual land use change rate in the Bohai Sea coastal zone area has occurred in the period from 2000 to 2005, up to 0.40%; the second one in the period from 2005 to 2008; the minimum one in the period from 1995 to 2000. （2） The land use dynamic change in Bohai Sea coastal zone area showed the big regional differences, and the most obvious changes were found at the lower reaches of Liaohe Plain, Haihe Plain and Yellow River Delta. （3） In the monitoring period, the expansion of settlement is the major land use dynamic type, and changing from sea into land （reclaiming land from the sea） is another important change type of land use in this region. （4） In the Bohai Sea coastal zone area, the landscape diversity and evenness was decreasing while the landscape dominance was increasing, due to the integration of some kinds of land use type （such as unused land and water land） as well as the expansion of dominating land use type.关键词：bohai coastal zone area;land use;temporal-spatial dynamic;response to landscape
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发布时间：2021-06-10 - 摘要：At present,it has become one of the vital research topics to estimate the distribution of urban impervious surface（UIS） precisely and effectively using remote sensing technologies.In this paper,while Xiamen Island was taken as the study area,the selective endmember linear spectral mixture model（LSMM） was applied to model the UIS distribution using China Brazil Earth Resources Satellite-02B（CBERS-02B） CCD data,and its advantage was discussed.Four typical endmembers were selected including high albedo impervious surface（High Imp）,low albedo impervious surface（Low Imp）,high albedo soil（High Soil） and vegetation for this region,and the UIS fraction was estimated from the fractions of High Imp and Low Imp consequently.Validation results indicated that the selective endmember method was superior to the generally fully constrained（GFC） method in view of several error measurements,and the UIS estimation obtained by taking into account the panchromatic band（band5） was more precise compared to which obtained without it.Consequently,at pixel scale the accuracy of the modeled UIS fraction was parallel with others using Landsat images,while unbiased estimation was obtained at land use polygon scale.Accordingly,our experiments suggest that UIS can be accurately estimated by using CBERS-02B data through proper processing and effective approaches,in spite of its imperfections related to radiometric calibration and geographical registration,which need to be improved further.关键词：selective endmember;linear spectral mixture model;urban impervious surface;CBERS-02B
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发布时间：2021-06-10 - 摘要：A new method for image down-scaling using geostatistical interpolation or smoothing based on the Hopfield Neural Network（HNN） and zero semivariance value is introduced.The method utilises the smoothing effect of the semivariogram matching process to produce the smoothened sub-pixel multispectral（MS） image with smaller RMSEs in comparison with the bilinear interpolation.In fact,the zero semivariograms increase the spatial correlation between the adjacent sub-pixels of the superresolution image.Containing higher spatial correlation,the resulting super-resolution MS image has smaller RMSEs compared with the original coarse image.
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发布时间：2021-06-10 - 摘要：<正>罗布泊位于中国新疆维吾尔自治区若羌县境内。历史上,曾是一个烟波浩渺的湖泊,物产丰富,景色秀美,养育了众多文明,包括楼兰、米兰、小河等文明,是丝绸之路的要冲,是古代中西方文明交流、多民族交融的重要区域（夏训诚,2007）。
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发布时间：2021-06-10
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