YAN Wei1,YANG Han-le1,YE Jing2 1. Institution of Meteorology,PLA University of Science and Technology,Jiangsu,Nanjing 211101,China. Department of Atmospheric Science,School of Physics,Peking University,Beijing 100871,China. Unit No. 95871 of PLA,Hunan Hengyang 421002,China
2009, 13(4): 570-574.
摘要:Research on cloud has been one of the important and difficult problems in Meteorology for a long time. Based on the CloudSat data the cloud types and phase analysis are described in this paper; by combining cloud properties retrieve algorithms with ground-based and satellite-based remote sensing measurements. Obtained results are compared with the products provided by CloudSat data processing center (DPC) and CALIPSO/Lidar measurement, and some reasons for the obtained results are discussed.
CHEN Xiao-xiang,DAI Yong-si,WU Bo,XIE Xue-tong Department of Remote Sensing and GIS Engineering,College of Geography and Planing,Sun Yat-Sen University,Guangdong Guangzhou 510275,China
2009, 13(4): 580-584.
摘要:By analyzing the law of Sigma variation with wind speed and relative azimuth, a new approach based on atlas properties is derived in this paper. The approach is different from traditional ones which are ranging methods based on least probability error. Without the need of variance, it can retrieve sea wind just by atlas information. 218623 data were in the experiment, and it turned out that the wind vector result was close to L2B data. Mean relative error of wind speed is 7.4%, and mean error of wind direction is 9.5°.
DU Bo,ZHONG Yan-fei,ZHANG Liang-pei,LI Ping-xiang State Key Lab of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Hubei Wuhan 430079,China
2009, 13(4): 591-596.
摘要:This paper presents an adaptive matched subspace method for detecting sub-pixel targets in hyperspectral imagery based on fully constrained linear separation. This method aims to overcome the defects of the sub-pixel detecting methods based on linear mixture model. By means of this method, not only the abundance of targets in different pixels can be detected, but also the pixels containing targets can be separated from the other pixels reliably. In addition, cross correlation spectrum matching technique is applied to the method to compute the sorts of the endmembers in each pixel in the imagery. Then instead of choosing all the endmembers, we choose the according sorts of endmembers in the method. In this way, the separability between the targets and the other ground objects can be improved. The experiments show that no matter whether the number of the sorts of endmembers is overestimated or underestimated, the detecting results of the method presented in this paper are better than other traditional sub-pixel detecting methods based on linear-mixture model. And this method can formulate an effective rule to separate the targets and background with a better performance than the other methods. Besides, it also performs better as to the targets spectrally similar to the background objects and the targets with a small number.
LUO Jian-cheng1,SHENG Yong-wei2,SHEN Zhan-feng1,LI Jun-li3,GAO Li-jing1 1. Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China. Department of Geography,University of California,Los Angeles CA90095-1524,USA. Xinjiang Institute of Ecology and Geography,Urumqi 830011
2009, 13(4): 604-609.
摘要:High-precision and automation are very important objectives of remote sensing information extraction research. This paper takes LANDSAT ETM as remote sensing data source, and uses spatial scaling (scale transformation) mechanism of "whole-local" based on Normalized Difference Water Index (NDWI). Combining the segmentation and classification at whole and local scales respectively, this study fuses the hierarchical knowledge of water extraction and sets up an iterative algorithm to achieve the gradually approach of the water body’s optimal margin, so that we can extract the high-precise water body information. The experiment of plateau lake information extraction demonstrated that the complex and various information of water body could be extracted accurately, and the confusion between water body and shadow information could also be effectively avoided.
GAO Yan-hua1,CHEN Liang-fu1,ZHOU Xu4,LI Li1,LIU Qin-huo1,TIAN Guo-liang1 1. State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China. Institute of Geographic Sciences and Natural Resources Research. The Center for National Spaceborne Demonstration,4. National Geomatics Center of China,Beijing 100048
2009, 13(4): 616-622.
摘要:A large number of spectral indices have been developed for estimation of leaf chlorophyll content. However, in most cases these indices have been tested for only one or at most a few related species, and thus it is not clear whether they can be applied across species with varying leaf structure characteristics. The main objective of the study is to find spectral bands that are sensitive to variation in chlorophyll content while relatively insensitive to species and leaf structure variation, determine optimal wide bands range for retrieving chlorophyll content of mixed canopies that consist of diverse species, and then develop wide-bands based approach to retrieve chlorophyll content of mixed canopies. We tested and compared 19 chlorophyll indices published on LOPEX93 (Leaf Optical Properties EXperiment 93) database to analyze the feasibility of using each of them as ’’universal’’ chlorophyll indices. Then the correlation between chlorophyll content and reflectance, the first derivative of reflectance spectra were studied based on LOPEX93 database, respectively. The results showed: (1) red edge spectral indices provided relatively good correlation with chlorophyll content when applied across a wide range of species; (2) the optimal band for estimation of chlorophyll content was found at 698-715nm range; (3) for the first derivative of reflectance, the optimal bands for estimation of chlorophyll content were at 720-735nm range and 535-550nm range.
WANG Gui-ting,WANG You-liang,JIAO Li-cheng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China,Institute of Intelligent Information Processing,Xidian University,Shaanxi Xi’an 710071,China
2009, 13(4): 631-638.
摘要:This paper proposes a novel automatic change detection approach for single band multi-temporal remote sensing images (MTRSI). First, the difference image is constructed by combining the spatial neighborhood information with the improved multiplying transform fusion (MTF) technique, which can well weaken noises and eliminate the effects caused by the registration error of multi-temporal images. In the segmentation processing of the difference image, the distributions of changed and unchanged classes are fitted by Rayleigh-Gauss models (RGM) and the probability densities of changed and unchanged pixels are estimated. Then the optimal change detection threshold is calculated automatically and effectively by the improved Kittler-Illingworth (KI) threshold selection algorithm. Finally, the changed regions are extracted. The experimental results obtained on the simulated MTRSI and the real MTRSI confirmed the effectiveness of the proposed approach. In particular, the results in terms of overall error and overall detected accuracy proved that the proposed generation approach of the difference image could have better performance than the MTF technique. In addition, as expected, the RGM was proved to be more suitable than the Gauss models (GM) and the Generalized-Gauss models (GGM) to fit the distributions of changed and unchanged classes. And the change detection experiments also confirmed that the proposed automatic threshold selection method based on RGM fitting technique could achieve the very similar performance to the optimal results exhibited by the supervised manual trial and error procedure (MTEP).
ZHOU Xiao-guang1,CHEN Jun2 1. School of Info-Physics and Geomatics Engineering,Central South University,Hunan Changsha 410083,China. National Geomatics Center of China,Beijing 100044 China
2009, 13(4): 647-652.
摘要:Dynamic operations change the state of object in Spatio-Temporal Database (STDB), which are the basic tools of STDB’s updating and maintenance, e.g., insert, delete, modify. In this paper, we argue that dynamic operations of STDB is a bridge linking the change processes in the real world and their representation in STDB, and a change in the real world has one and only one dynamic operation to deal with the operand. From the object-oriented STDB management point of view, the oper- and of dynamic operations is a single object; the mutation between entities should be realized by the dynamic operations of several objects. Based on this cognition, the changes of single geographic entities and the identity-based changes in STDB are stud- ied at first, and a set of dynamic operations of STDB mapping the entities’change of the real world to their representation in STDB is presented, which include 12 dynamic operations. The mutation between several objects can be represented by a few operations in this set. All of these operations are implemented on Oracle objected-relational database, using Oracle’OO4O and VC6.0. We also use an example to illustrate how these Dynamic operations can be used to update STDB.
ZHANG Xiu-ying1,FENG Xue-zhi2,JIANG Hong1 1. International Institute for Earth System Science,Nanjing University,Jiangsu Nanjing 210093,China. School of Geography and oceanography,Nanjing University,Jiangsu Nanjing 210093,China. International Center of Spatial Ecology and Ecosystem Ecology,Zhejiang Forestry University,Zhejiang Hangzhou 311300,China
2009, 13(4): 659-663.
摘要:Taking the identification on urban vegetation categories as an example, this study discussed feature set optimization methods to improve the efficiency of objected-oriented classification. Considering the characteristics of urban vegetations from IKONOS, 31 features were primarily selected, including 6 shape indices, 2 location features, 17 spectral and 6 texture features. Firstly, the features with low entropy and strong correlation with others were removed from the primary feature set, and the dimension of feature set was cut down to 23. From the point of identification on urban vegetations, the minimum and mean J-M distance were used to select the optimum feature set from 2 to 23 dimensions using 220 samples of vegetation patches, and the dimension of feature set was decreased to 14. K-L transformation was used to further decrease the dimension of feature set, in which deviation matrix between the target categories substituted the covariance matrix between different features, and the results showed that K-L transformation to the whole feature set compressed 70% of features and K-L transformation to the subgroup feature set compressed 50% of features, respectively. Comparing with the classification rules derived through CART, K-L transformation to subgroup feature set achieved the training accuracy 12% higher than the transformation to the whole feature set, and 1% lower than that without K-L transformation, respectively. The classification accuracy also showed that the total accuracy and Kappa coefficient using K-L transformation with subgroups decreased only 1.5% and 2.3%, but its feature set dimension decreased 50%.
WANG Ying-qiang1,YAN Wei1,FU Yang2,LUAN Yi3 1. Institute of Meteorology,PLA University of Science & Technology,Jiangsu Nanjing 211101,China. Beijing Institute of Applied Meteorology,Beijing 100029,China. 96631 Troops,Beijing 102208,China
2009, 13(4): 670-677.
摘要:Timely and accurate measurement of soil moisture and its fluctuation is of paramount significance in understanding the global water cycle and improving the weather forecast pattern. With the development of GNSS-R technology, the use of GPS signals reflected from the earth has been proposed as an alternative method to remotely sense soil moisture. Inversion model is established from the truth that the reflectivity is a function of soil dielectric constant which relates to the soil moisture. In order to determine soil moisture from collected data by DMR (Delay Mapping Receiver) fleetly, the whole retrieval flow is processed from original reflected data to soil moisture. In this study, a piecewise model is presented between soil dielectric constant and soil moisture. In order to test the feasibility, the SMEX02 experimental data on aircraft platform taken by NASA was used. The result shows the reflected GPS signal is sensitive to the surface soil moisture.
LU Ying-cheng,TIAN Qing-jiu,SONG Peng-fei,LI Shan-shan International Institute for Earth System Science,Nanjing University,Jiangsu Nanjing 210093,China
2009, 13(4): 686-690.
摘要:Based on the Hyperion data of Liaodong Bay, with the spectral response and image characteristics of offshore oil slick analyzed, an effective method of extracting offshore oil slick image from Hyperion data was proposed. First, the ratio of 740nm to 690nm was used to extract water range from the Hyperion image of the research area; second, by transforming the water hyperspectral reflectance image with minimum noise fraction (MNF), the offshore oil slick information of every Hyperion band was converged into several MNF bands. Analysis on the 2 dimensional (2D) scatter plots of those MNF bands showed abnormal scatter plots would appear because of offshore oil slick, and those endmembers’ MNF spectrum could be extracted by ENVI software’s 2D scatter plots tools. Taking those endmembers’ average MNF spectrum as standard offshore oil slick MNF spectrum, using the mixture tuned matched filtering method (MTMF) to filter the MNF images from 1 to 5 bands, and finally by evaluating the eigenvalue in matched filtering score image and infeasibility image value, the offshore oil slick could be successfully extracted from the Hyperion image. This rapid detection method could be used to find offshore oil slick in hyperspectral images.
WANG Shuang,ZHU Xiu-fang,PAN Yao-zhong,XU Chao,LI Le Key Laboratory of Environment Change and Natural Disaster,Ministry of Education of China,College of Resources Science & Technology,Beijing Normal University,Beijing 100875,China
2009, 13(4): 696-700.
摘要:More and more attention has been paid to the best use of medium and high resolution images and statistical data, combined with low resolution images on crop area estimation. However, information abstraction with high and medium resolution images also has many uncertainties due to factors such as spectral difference within classes, spectral similarity between classes, and the mixed pixels. This paper presents a method for crop area estimation with high and medium resolution images based on statistical sampling and amount controlling. Firstly, sample units are obtained by stratified sampling. Then sampling units are interpreted, and the estimator of crop planting acreage is extrapolated. Finally the spatial distribution mapping is classified and refined under the restriction derived from sampling estimator. Moreover, we validate the method presented above by using a SPOT-5 subset image (with resolution of 10m, August 21, 2006) of Sanhe, Hebei province. The results indicate that the overall accuracy of the new method is 93.8%, with kappa 0.88, based on cluster samples, which is higher than that of MLC method. The new method has promising practicality and popularity in large-cover measurement of crop planting acreage.
MA Ying-ying1,GONG Wei1,ZHU Zhong-min2 1. State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Hubei Wuhan 430079,China. National Engineering Research Center for Multimedia Software,Wuhan University,Hubei Wuhan 430079,China
2009, 13(4): 707-714.
摘要:The changing characteristics of aerosol optical depth in South east China is analyzed using data derived from CALIPSO lidar, during the period from June to February in the next year. Spaceborne lidar can help to acquire global-scale data of the aerosol’s optical properties. This paper presents the differences between marine aerosol and continental aerosol and the causes are discussed. Furthermore, the aerosol optical depth change with height and its distribution characteristics in these areas are depicted. This information will provide an exhaustive reference for future research into weather forecasting and climate change, as well as in the analyses of the relationships of weather, climate and aerosol.
摘要:The Heifangtai loess Plateau, which has a total area of 13km2, is located in Gansu Province, China. The groundwater table in this loess plateau has been significantly raised and caused many loess landslides. In this paper, IKONOS image was used as the remote sensing date source in detection of the loess landslide. Various methods, including IHS, Brovey, PCA and Multiplative transformation have been used for fusing IKONOS images. Analysis of this paper is on the basis of the PCA transformation fused image. And the image can provide more abundant textural and spectral information for interpretation. Based on comprehensive analysis of geological conditions and the fused image features of the study area, the fused IKONOS image will be well applied in the classification of loess landslide and mechanism analysis, identification of landslide boundary and phase-relationships, spatial distribution analysis and statistics of landslide characteristic parameters.
WANG Xi-li1,ZHOU Zhao-yong1,YAN Jun-ping3 1. School of Computer Science,Shaanxi Normal University,Shaanxi Xi’an 710062,China. Network Center,Northwest Sci-tech University of Agricultural and Forestry,Shaanxi Yangling 712100,China. College of Tourism and Environment,Shaanxi Normal University,Shaanxi Xi’an 710062,China
2009, 13(4): 735-739.
摘要:This paper establishes the retrieving models of water quality parameters by remote sensing based on support vector machine (SVM), and proposes a self-adaptive optimization algorithm for the selection of SVM model parameters using genetic algorithm (GA). Using high resolution multispectral SPOT-5 data and in situ measurements, we construct univariate and multivariate empirical models for retrieving water quality parameters of Weihe River in Shaanxi province. The capability of the proposed GA-SVM method is obviously better than the neuron networks and the traditional statistical regression methods even for limited samples. And the results of multivariate models are always better than that of univariate models for these methods. Since SVM has the ability of non-linear mapping, fitting for small samples, and the model parameters are selected automatically by GA, GA-SVM method shows distinct superiority in solving our problems. By introducing the new method of machine learning and intelligent computing method for global optimization, GA-SVM provides a new approach for water quality monitoring by remote sensing, and can obtain better results for Weihe River in Shaanxi.
XU Chong1,DAI Fu-chu1,CHEN Jian1,TU Xin-bin1,XU Ling1,LI Wei-chao1,TIAN Wei1,CAO Yan-bo1,YAO Xin2 1.Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China. Institute of Geomechanics,Chinese Academy of Geological Sciences,Beijing 100081
2009, 13(4): 745-753.
摘要:Large quantities of secondary geological hazards such as rock falls, landslide as well as debris flows were triggered by a magnitude 8.0 earthquake of Wenchuan, Sichuan, China. The identification of about 46560 secondary geological hazards through visual interpretation of multi-source remote sensing data over 14 counties in heavy disaster region after the overall remote sensing data were obtained. Their location and area information was input into GIS database. The distribution map, dot destiny map, histogram of number, total area, average area, area ratio, frequency of secondary geological hazards in 14 counties were drawn. Four regions of intensive geological hazards were identified. It is shown that there is a corresponding relation between the distribution of secondary geological hazards and the main faults. At last, the relation between the distribution and elevation, slope angle and intensity of earthquake triggered geological hazards were established. About 54.00 percent of secondary geological hazards in the study area occurred between altitude of 1000m and 2000m; about 62.42 percents of secondary geo- logical hazards occurred between slope angle of 30° and 50°; about 90.94 percents of secondary geological hazards occurred between Ⅺ and Ⅷ intensity. This paper provides an important database of secondary geological hazards triggered by Wenchuan Earthquake for further research on development trend, mechanism, prediction of secondary geological hazards, restoration and rebuilding, site selection, etc.