WANG Zhen-zhan1,LI Yun1 1.Center for Space Science and Applied Research,Chinese Academy of Science,Beijing 100190,China.Graduate University,Chinese Academy of Sciences,Beijing 100039,China
2009, 13(3): 355-362.
摘要:Space-borne microwave radiometer plays an important role in retrieving geophysical parameters of the global ocean surface.The Advanced Microwave Scanning Radiometer(AMSR-E),launched on May 4,2002 aboard NASA’s Aqua spacecraft,is a passive microwave sensor that precisely measures microwave emission from the earth surface and atmosphere with multiple frequency bands.AMSR-E can measure a series of oceanic parameters,such as atmospheric water vapor,cloud liquid water,precipitation,sea surface wind,sea surface temperature,sea ice,snow cover,and soil moisture.In this paper,an ocean surface microwave emission/scattering algorithm and an atmospheric radiation algorithm are developed for retrieving geophysical parameters from AMSR-E brightness temperatures.Sea surface wind,sea surface temperature,water vapor,and cloud liquid water of global ocean are retrieved.The results are validated by NCEP reanalysis data,as well as TAO buoy data on the Pacific Ocean.The retrievals are also compared with those from Wentz2000 algorithms for evaluating accuracy of the algo-rithm.It is found that there are excellent correlations between the in situ parameters and those retrieved from either statistical algorithms or physical algorithms.It is also found that there exits system biases in all retrieved parameters which can be well corrected by a linear equation.The results compared with NCEP’s are different from those with TAO’s,which may results from the uncertainties in NCEP data.The final RMS error of sea surface wind,sea surface temperature are 1.21m/s,0.73K,respec-tively,comparing with TAO ’s.
LI Xiao-ying1,GU Xing-fa1,YU Tao1,CHENG Tian-hai1,GAO Hai-liang1,LI Jia-guo1,YANG Xiao-feng1 1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China.Demonstration Centre for Spaceborne Remote Sensing National Space Administration
2009, 13(3): 371-376.
摘要:In this paper,a method to evaluate the in-flight MTF(Modulate Transfer Function) of the WFI(Wide Field Imager) on CBERS-02B is presented and the WFI images are restored.The CCD is another payload on CBERS-02B with high spatial resolution.Using the CCD images as high resolution images,the two-image comparison approach is applied to determine the MTF of the WFI with a pair of images acquired over Beijing on Nov.10,2007.As the results,MTF values in three directions are derived.The MTF values at Nyquist frequency in cross-track,in-track and 45° directions were respectively about 0.43,0.52 and 0.35 for red band and 0.30,0.46 and 0.36 for near-infrared band.Image-derived MTF values are applied to calculate the half bandwidths of the WFI.The results indicate that the instant fields of view of the WFI in the cross-track,in-track and 45o-track directions were respectively 1.188 pixels,1.165 pixels and 1.281 pixels for red band,and respectively 1.258 pixels,1.195 pixels and 1.326 pixels for near-infrared band.Weiner filter model is used to perform the MTF compensation for WFI images.The re-sults show that the restored image seemed clearer and contained more detailed information.
WANG Hai-peng,XU Feng,JIN Ya-qiu Key Laboratory of Wave Scattering and Remote Sensing Information(MoE) Fudan University,Shanghai 200433,China
2009, 13(3): 385-390.
摘要:An inversion method of bridge height over water surface is developed.A geometric rays description is illustrated for scattering mechanism of bridge over water surface.Based on Mapping and Projecting Algorithm(MPA),polarimetric SAR images are simulated and the results show that the bridge in SAR image can be identified by three strips corresponding to single-,double-and triple-order scattering,respectively.A set of parameters based on de-orientation theory is applied to locate the im-aging positions of single-,double-and triple-order scattering of the bridge body.The thinning,clustering algorithm,and Hough transform are employed to detect the lines indicating different orders of scattering.Then,these lines are used to invert the bridge height.Fully polarimetric data of airborne Pi-SAR at X-band is applied to inversion of the Naruto Bridge height and width.Based on the same principle,spaceborne ALOS PALSAR data of the Eastern Ocean Bridge is also applied to the bridge height inversion.The results show good feasibility of the bridge height inversion.
XIA Wei-jie,ZHOU Jian-jiang College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Jiangsu Nanjing 210016,China
2009, 13(3): 397-403.
摘要:In order to meet the increasing demand for SAR raw signal and SAR images simulation,a new method for the simulation of the SAR raw signal and images of typical terrains is proposed in this paper.The properties of Fractal Brown Sur-face and its horizontal are analyzed first.Then the Digital Elevation Model(DEM) of the mountain terrains is generated by the usage of random MPD(Middle Point Displacement) method.The new approaches for the generation of coastal terrain(Re-turn-to-Zero method) and river-ravine terrain(Return-to-Zero-Inversion method) are also proposed.The back scattering coeffi-cient of each resolution cell is calculated by employing the corresponding electromagnetic scattering model.The algorithm of SAR raw signal simulation based on the 2DFFT(two-dimensional Fourier Transform) is presented.The simulation results show that the proposed method is valid.
CUI Ting-wei1,ZHANG Jie1,MA Yi1,SUN Ling3,4,ZHAO Wen-jing1 1.First Institute of Oceanography,State Oceanic Administration,Shandong Qingdao 266061,China.Key Lab of Marine Science and Numerical Modeling,State Oceanic Administration,Shandong Qingdao 266061,China.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration,Beijing 100081,China,4.National Satellite Meteorological Center,China Meteorological Administration,Beijing 100081,China
2009, 13(3): 411-416.
摘要:Diffuse attenuation coefficient of downwelling irradiance at 490nm,Kd(490),is one of the important ocean optical properties.The retrieval model is of great interest especially for the optically complex water,where terrestrial influence on ocean optical properties is significant.Comprehensive bio-optical dataset were acquired in the nearshore area of the Bohai Sea in 2005.Statistical retrieval model for Kd(490) based on remote sensing reflectance spectra is developed.The model is validated by in situ data with the Absolute Percentage Difference(APD),Root Mean Square error(RMS,in log10 scale) and Pearson correla-tion coefficient(in log10 scale) of 18.4%,0.094 m-1 and 0.902 respectively between in situ and retrieved Kd(490) values.Error performance of the model is analyzed and it is shown that APD of the retrieval is better than 30% for 76% of all the in situ data.Model’s sensitivity to the input noise is analyzed by imposing ±5% error of remote sensing reflectance spectra artificially,which proves that the model is robust and reliable with the error fluctuation of model output being less than 9% for APD and 0.035 m-1 for RMS.The model is applied to ENVISAT MERIS data to give the spatial distribution of Kd(490) of the Bohai Sea.
LI Xin-wu,GUO Hua-dong,LI Zhen,CHEN Quan Lab of Digital Earth Sciences,Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100190,China
2009, 13(3): 423-429.
摘要:From repeat pass SIR-C L band polarimetric SAR interferometric data and fully maximum likelihood inversion decomposition model of PolInSAR,a method for sub-canopy soil moisture estimation using repeat pass SIR-C PolInSAR data is proposed.At the same time,the potential and validity of fully maximum likelihood inversion decomposition model of PolInSAR for sub-canopy soil moisture inversion is investigated.Firstly,from the random oriented volume over ground two layer coherent scattering model and the statistical characteristics of Pol-InSAR coherency matrix,the fully maximum likelihood inversion de-composition model is used to reconstruct or recover the surface polarimetric coherency matrix with volume scattering compo-nents significantly removed;then,from recovered surface polarimetric coherency matrix,co-HH,VV and cross-HV polarization backscattering coefficient are obtained,and the sub-canopy soil moisture are inverted from Oh and Dihedral scattering model.At last,Compared the inversion result with the field measurement and the climate data of hetan region from 1951 to 2006,the pre-liminary result indicates that the proposed method based on fully maximum likelihood inversion decomposition model has enough high inversion accuracy,if the new spaceborne or airborne polarimetric SAR interferometric data with synchronously spaceborne or airborne-ground measurement will be acquired,the validity and accuracy of proposed inversion method will be further investigated and validated.
ZHANG Rui1,MA Jian-wen1 1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China.Graduate University,Chinese Academy of Sciences,Beijing 100049,China
2009, 13(3): 437-444.
摘要:In this paper,the P-SVM algorithm was introduced into multi-spectral/high-spatial resolution remotely sensed data classification and it is applied to classification of ASTER satellite data and ADS40 aerial digital data.The experiments indicate that the P-SVM is at least competitive with the standard SVM algorithm in classification accuracy of remotely sensed data and the time needed is less.
CHEN Chuan-fa,YUE Tian-xiang,LU Yi-min Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
2009, 13(3): 453-457.
摘要:High accuracy surface modeling(HASM)constructed based on the fundamental theorem of surface is more accu-rate than the classical methods.However,because of boundary error,location error,etc,HASM has a big accuracy loss in real-world examples.In former researches we solved the location error with Taylor expansion.In order to reduce the HASM boundary error and improve its accuracy further,this paper presents a new method of Laplace interpolation to compute the re-gion boundary value.Gaussian synthetic surface and the real world test region are employed to validate the efficiency of this method.Results show that the boundary value computed with Laplace interpolation is more accurate than the classical methods,which can be regarded as an alternative for boundary value computation.
GUAN Min,YANG Zhong-dong National Satellite Meteorological Center,Beijing 100081,China
2009, 13(3): 463-468.
摘要:MWRI(MicroWave Radiation Imager) is one of the payloads on our next generation polar meteorological satellite FY-3.MWRI conically scans with a fixed incident angle on the earth surface.It is the first time for Chinese remote sensor to use this scan mode.In this work,we present a geolocation method for FY-3 MWRI’s remote sensing image based on its special scan geometry.The integrated coordinate systems and the specific relationships with these coordinate systems are defined.A spatial relationship model between the remote sensing data and the earth-based coordinate system is established.This method also in-cludes an algorithm of satellite orbit computation,which is used to get the satellite’s instantaneous velocity vector from its posi-tion.This method has been applied to MWRI’s remote sensing image geolocation.The results show that the accuracy of this method can achieve 1 pixel.The 33 GCPs(Ground Control Points) which are in the regiones of FY-3 MWRI’s observation have been collected and used to analyze the precision of the geolocation.By statistical analysis,the error along-track is about 1.5km,and the error along-scan is about 3.0km.It is obvious that this method fulfills the requirement of precision for FY-3 MWRI whose space resolution exceeds 5km.
摘要:基于高分辨率图像对比法,利用同一卫星平台上空间分辨率19.5m的CCD相机图像对CBERS-02B卫星上空间分辨率为258m的WFI成像仪图像进行在轨MTF(modulate transfer function)测量,获得WFI(wide field imager)相机沿轨、跨轨与45o方向的MTF曲线,并计算出3个方向的线扩展函数LSF(line spread function),获得3个方向的有效半带宽。结果表明WFI相机红波段跨轨、沿轨与45o方向的有效半带宽,即有效瞬时视场,分别为1.188,1.165与1.281个像元,近红外波段为1.258,1.195与1.326个像元。基于获得的MTF,利用维纳滤波法对WFI图像进行补偿,部分恢复了WFI图像的细部信息。
ZHAO Ling-jun,QIN Yu-liang,GAO Gui,KUANG Gang-yao School of Electronic Science and Engineering,National University of Defense Technology,Hunan Changsha 410073,China
2009, 13(3): 475-482.
摘要:As the rapidly growing of availability of high-resolution urban SAR images,analysis of urban environments using SAR images has become an important task in the field of SAR image interpretation.Built-up areas are the dominant structures of urban environments.Detecting and analyzing built-up areas has attracted more and more attention of researchers interested in urban SAR image interpretation.In this paper we propose a method of detecting built-up areas from high-resolution SAR images using the GLCM(Gray-Level Cooccurrence Matrix) textural analysis.Our method is composed of two stages:initial localization of built-up areas and boundary adjustment.Both stages follow a flow of feature computation,Bhattacharyya-Distance-based feature selection and KNN(K-Nearest Neighbor) classification.The difference is that a block-by-block feature computation manner is used in the first stage while a pixel-by-pixel one is used in the second stage.Experiments are performed on images obtained by different SAR sensors.The results indicate that the best three or four features,which have the highest Bhattacharyya distance,lead to the high performance of initial localization,with detection rate higher than 80% and false alarm rate lower than 10%.With the boundary adjustment is implemented,the detected built-up-area boundaries gradually get close to the real boundaries.The experimental results of different SAR images show that the proposed method for built-up area detection is promising.
摘要:Although drastic land use change took place rapidly in very short interval in the Pearl River Delta of China,hardly any research has been done on this for lacking of available data.Located in the south of China,Pearl River Delta suffers from heavy cloud cover for more than half of the year.This makes real-time land use-land cover change(LUCC) monitoring almost impossible using optical remote sensing images.In this paper,the orbital highest resolution SAR(Synthetic Aperture Radar) data-Fine Mode Radarsat data is selected and three scenes of repeat-pass Radarsat images are used for short-term land use change detection.Short-term land use change caused by human activity is considered as spatial and temporal abnormal in time series images.And a Density-Based Anomaly Detection(DBAD) algorithm is designed to detect abnormally changed land par-cels in time series Radarsat images.After that field survey data are used for validation.The result shows that DBAD gained bet-ter accuracy in comparison with object-based image regression method.Besides,DBAD exhibits greater capabilities in detecting under-constructed area and newly built up area(with error lower than 12%).While for built up area and some mixed used area,DBAD gained relatively lower accuracy(with error from 10% to 28.57%).
WANG Zhen-hui1,YANG Yan-rong1,XIAO Wen-an2,HE Hui-qing2,LI Feng2 1.Key Laboratory of Meteorological Disaster of Ministry of EducationKLME,Nanjing University of Information Science & Technol-ogy,Jiangsu Nanjing 210044,China.School of Atmospheric Remote SensingPhysics,Nanjing University of Information Science & Technology,Jiangsu Nanjing 210044,China.College of Forest Resources and Environment,Nanjing Forestry University,Jiangsu Nanjing 210037,China
2009, 13(3): 508-514.
摘要:Cloud tracking technique based on the combination of Fourier phase analysis and maximum correlation(TCFM) is employed to retrieve cloud motion vectors for sever tropic storm "Masta" from geostationary meteorological satellite FY-2C image series with a 30min interval on August 5,2007.The retrieved data are assimilated into the numerical model ARPS(the Advanced Regional Prediction System) by means of its data analysis system ADAS for the period before "Masta" landed onto ground.Though conventional wind observations are rare over sea areas,the experiment with satellite-derived winds from TCFM technique shows that the cloud motion wind data can improve the vertical wind features in the east of eye wall and make the helical rainband more realistic.
DONG Ting-ting1,ZUO Li-jun1,ZHANG Zeng-xiang1 1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China.Key Laboratory of Resources Remote Sensing & Digital Agriculture Ministry of Agriculture,Beijing 100081.Graduate University of Chinese Academy of Sciences,Beijing 100039
2009, 13(3): 522-527.
摘要:Irrigated land is one of the most important parts in land cover classification system,but until now it has seldom been reported about extracting it from remote sensing data and monitoring its dynamic change.The existing researches are focused on the land use-cover change(LUCC) and the irrigated area mapping,so the study on extracting irrigated land is much more im-portant.On the basis of close relationship between water deficit index(WDI) and soil water content,this paper firstly combines two neighbor NDVI and the surface-air temperature(Ts-Ta) and conforms one Vegetation Index Temperature(VIT).It makes the timely incomparable WDI comparable and then computes the change of WDI during the monitored period.Secondly it infers the change of soil water.Thirdly it removes the rainfall’s influence under some assumption and extracts the irrigated land of the survey area.Results show that comparing with census data all the deviation is below 7% in the survey area except Shanxi prov-ince,which means that the extracted results are comparable with census data.Extracted irrigated land mainly distributes around rivers,lakes,and reservoirs or on the irrigated regions and oasises.The results are consistent with the centralized region which has abundant irrigated land known before.The results are checked elementarily using TM images.All the precisions are above 70% except in Shanxi province.The precision in Xinjiang municipality is the highest.
FU Ying-chun1,YUAN Xiu-xiao2,SONG Yan2,CHEN Mi3,GUO Tai-sheng1 1.Geography School,South Normal University,Guangdong Guangzhou 510631,China.School of Remote Sensing and Information Engineering,Wuhan University,Hubei Wuhan 430079,China.Department of Educational Technology,Capital Normal University,Beijing 100037,China
2009, 13(3): 535-541.
摘要:Remotely sensed infrared images are often used to assess forest fire conditions.Meanwhile,fire propagation mod-els are in use to forecast future conditions.The traditional method of fire monitoring is mapping or extraction of burn scar and hotspot generally depending on abnormity character of spectral radiation and thermal infrared(TIR) channels.In the Dynamic Data-Driven Application System(DDDAS) concept,the fire propagation model will react to the image data,which should pro-duce more accurate predictions of fire propagation.So the parameters of fire line and propagation direction extracted from the fire edge map are more important than burnt area estimation in real-time fire forecast application.The method capable of auto-matically determining the fire perimeter,active fire line,and fire direction is developed in this paper based on some image proc-essing techniques.And MODIS(Moderate resolution Imaging Spectrometer) is used as experimental data because of its widely spectral range bands and dynamic monitoring capacity for the earth.First,the optimal bands choice construction for spectral in-dices of NDBR(Normalized Difference Burn Ratio) capable of describing active fire intensity is discussed.Then the multi-spectral image gradient together with TIR channels and solar reflectance channels is used to map the fire edge which can be put on NDBR image for restriction against active fire line.And B-spline model is applied to fit fire line segments to a spline curve for fire propagation front estimation by normal of the spline.At last,the kriging interpolation method based on hotspots with high gradient magnitude of fire line is used to extrapolate fire edge region to validate these results.The image of forest fires located in Great Xing’an Mountains is processed and another image after 30mins is used as the referenced image.Two aspects prove that propagation of fire line are essentially consistent with the referenced image.And expectation,entropy value of image context and kappa for spatial fire pixel identification can respectively reach 86%,81%,80.2% compared with the referenced one.So it is suggested by the results that this automatic process for extracting fire propagation parameters can be proved with well performance and efficient in dynamic fire mapping and monitoring.
RAN Qiong1,CHI Yao-bin2,WANG Zhi-yong2,CHEN Zheng-chao4 1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China.Beijing Landview Mapping Information Technology Company,Beijing 100096,China.Beijing Institution of Remote Sensing Information,Beijing 100085,China,4.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100190,China
2009, 13(3): 549-553.
摘要:Noise estimation plays significant role in payload assessment,image processing and data application.In this paper,considering characteristics of Beijing-1 small satellite,the image-based noise estimation methods with their applicability are ap-praised and compared through experiments.The parameters and model optimization are also discussed for better assessment of noise.With comprehensive analysis of noise estimation results from different land cover types,the Beijing-1 small satellite noise is evaluated with its standard deviation.Comparison of the noise estimation from images acquired in 2008 and the in-orbit test right after launch in 2005 shows that noise level of the Beijing-1 small satellite does not change,the satellite has well-kept per-formance even after 3 years of operation.
摘要:利用傅里叶相位分析方法与最大相关法结合的云导风技术TCFM(Technique based on combination of Fourier phase analysis and maximum correlation),对2005-08-05的强热带风暴"麦莎"天气过程中静止气象卫星得到的30min间隔云图时间序列进行导风计算,并将导风结果应用于中尺度数值模式ARPS(The Advanced Regional Prediction System),结合其资料分析系统ADAS(ARPS Data Analysis System),对台风"麦莎"登陆前的过程进行模拟。尽管洋面上常规资料稀缺,但卫星导风数据的同化使用结果表明,TCFM技术得到的导风资料能够显著改善台风眼壁东部区域的垂直气流活动,使台风螺旋雨带更加明显,符合实际。