Abstract: The population data of urban are important to understand the urban development, and also significant to research the urban environment With the development of GIS and RS, the technique of deriving the urban population with large area and multi-times remote sensing data is increasingly mature Through the analysis of the relationship between the DMSP / OLS night-time satellite sensor data and the population of each county of Hubei province, this paper established the corresponding linear model and adopted the model to estimate the 76 urban population of the year 2002 The results showed that the prediction goodness of fit were 9894% and the average relative error was 1095% It also showed that the DMSP / OLS night-time satellite sensor data could be well used to short-term estimate the urban population

Abstract: The paper adopted many methods to carry out image enhancement processing in remote sensing image based on different types of coastline have different characteristics in image,such as binarization,high-pass filtering,tasseled cap transformation and unsupervised classification,and so on.The coastline of yellow river mouth reach and diaokou reach of yellow river delta area were accurately extracted by this method.

Abstract: Based on the spectral characteristics of algae,high-quality "Beijing 1" micro-satellite data,automatic classification technique and GIS were used to extracting algae information.The result of algae distribution has verified by ship observation.The "Beijing-1" satellite data has brought into operational monitoring system.It provides timely algae distribution,area and changes information to the disaster monitoring headquarters of the Yellow sea,so it played an important role during Qingdao Olympic Sailing Competition.

Abstract: Remote sensing imagery segmentation is a process of dividing an image into different regions such that each region is,but the union of any two adjacent regions is not,homogeneous.It is one of the key techniques in the object-oriented remote sensing imagery data mining and its application,also quite essential in remote sensing image processing engineering.In this paper,we have a thorough survey on different methods of high spatial resolution remote sensing imagery segmentation,categorizing them into four groups according to the gray or color information they are exploiting.The disadvantage of current methods and the proper progress which can be obtained in the near future are pointed out at the end of this essay.

Abstract: RIA is a kind of network application which has similar functions and features with traditional desktop applications.It has irreplaceable advantages in UI performance,interactive capability and network transmission.Summing up the RIA-related concepts and technologies as well as the traditional way to build up WebGIS RIAs,on basis of reference to the trend of Web 2.0,this article gives a series of solutions to build up WebGIS RIAs with JavaScript/AJAX,Flex and other client technologies.The realization mechanism of these solutions in detail is also explained in this article.

Abstract: Impervious surface is a character of urban areas.The ratio of imperviousness and total area becomes a significant urban ecological index in the research of urban hydrology,water pollution,urban vegetation mapping and so on.Extracting impervious information from high-resolution remote sensing image,can not only obtain impervious surface distribution with higher accuracy,but also provide sample training region for the impervious area extraction and accuracy calculation from middle or lower resolution remote sensing image.In this paper,an object-oriented classification method to detect impervious surfaces from IKONOS image is proposed.The result shows that the method can partially resolve the problems such as shadows classification and elimination of plants covering impervious area,obtaining a more accurate impervious information.

Abstract: The Modulation Transfer Function(MTF) is an essential parameter in satellite imaging systemIt is difficult to obtain a perfect beeline edge object from the remote sensing image,so how to measure the MTF for the mid-low spatial resolution satellite in orbit is a hard taskAfter discussion of the edge method,the techniques of fitting curve edge with polynomial,approaching the edge spread function(ESF) by Fermi function,and calculating the function coefficients with simulated annealing algorithm are used in this workThe algorithm for computing MTF of remote sensing image with curve edge is designed,which provides an effective monitoring method of mid-low spatial resolution satellite in orbit

Abstract: Gravity anomaly data can be used to correct the drifting errors in the inertial navigation of submarine which are accumulated over time. This paper introduces the new matching algorithm Iterative Closest Contour Point(ICCP) and its application to gravity matching.After analysis and experiments, it can be concluded that the matching result can reach high precision if the initial position error is not large.This algorithm has the best performance locally.

Abstract: Simultaneous ASAR and MODIS images are registrated together.After applying atmosphere correction to MODIS image,we can use an empirical model to retrieve chlorophyll-a concentration,then the algae bloom can be identified.Based on this classification,the V/V backscattering characteristics of algae in ASAR image has been examined and the water body containing algae can be extracted using threshold classification method.Then,a comparison has been made between the classifications using ASAR and MODIS images and the results matched well.So a conclusion can be made that the algae bloom can be shown on the SAR image under certain conditions.Because of the wind's influence on the drifting and vicissitude of algae bloom,the wind speed becomes the key factor that determines the result.Furthermore,irregularity of surface roughness and error in dielectric property make the threshold not universal to all weather conditions,which adds to the weakness of SAR application in algae bloom monitoring.

Abstract: NDVI time series of three vegetations (chill swamp, grassland, meadow) in Bayinbuluk grassland from 1982 to 2000 are created with the technologies of GIS and RS Seasonal changes of three vegetations NDVI are worked out from multi-year means of monthly compound NDVI data Meanwhile, the precipitation, air temperature, 0-20cm deepening ground temperature, and sunlight time at Bayinbuluk observatory are collected synchronously, at regional scale the relations of vegetations and climate factors in Bayinbuluk grassland are analyzed for some implications of climate changes on regional vegetation growth

Abstract: Miyun reservoir is the most important drinking water source of Beijing city,while the landscape pattern in the upper basin of Miyun reservoir and its variation may has direct influence on the water quantity and quality of this reservoir.Based on multi-temporal land use/cover data,this paper analyzes in detail the temporal and spatial variation of land use type in the upper basin of Miyun reservoir in recent ten years.Moreover,by means of the FRAGSTATS software landscape pattern changes are analyzes as well.The result shows that shrub,forestland,middle and high coverage grassland always are the dominant types,which maintaining the basic landscape functions for the region.However,the land use type and landscape pattern still take place great changes in recent ten years.There are more forest and grassland transformed to farmland before the year of 2000.After that,returning farmland to forest or to grassland has been conducting in this region,so the area of forest and grass are increase rapidly.The landscape fragmentation had become showing an increasing trend in the study region,while the vegetations that are beneficial to soil and water conservation are also increasing.

Abstract: For the high-resolution remote sensing images,how to use the information of spectrum and space to do more microscopic monitoring or large-scale remote sensing mapping is one of the important contents of high-resolution remote sensingIn this case study,the SPOT5 image of Wuyi Mountain natural reserve area was hierarchically classified with the objects-oriented methodFirstly,the image was segmented synthetically combined with the information of spectrum and spaceAnd then,hierarchical classification was realized to extract the landscape information by means of the membership functions or nearest classificationThe result showed that: the object-oriented method can quickly and easily exact the landscape information in SPOT5 images for the complex study area in topography and the accuracy reaches to 76%This approach provides a new way for classification of high-resolution remote sensing data

Abstract: Cloud removing is an important step of remote sensing image process.In this paper,the author proposes a new algorithm for cloud removal from MODIS images based on spectrum analysis.Firstly spectral characteristic of cloud and cloud shadow area is analyzed,and cloud area enhancement model is summed up.Using this model an index matrix is extracted,in which,each pixel value is the index of the image contaminated least by cloud among the multi-temporal remote sensing images in a certain period.Secondly,the image contaminated least by cloud is selected and used as a benchmark image for the purpose of an image match for the common parts of the cloud free area.Other images are transformed by linear regression model and the above benchmark image.Thirdly,the result image is acquired by replacing pixels.In order to test the accuracy of the result,it is compared with the cloud mask provided by NASA.The result shows that the algorithm can eliminate or significantly reduce the cloud effect from MODIS images.

Abstract: In this paper, concentration classification was used to improve the accuracy of remote sensing chlorophyll-a retrieval. The samples were classified into two groups, the high concentration and the low concentration, according to its chlorophyll-a concentration (Chl) by the threshold of 50 μg/L.A modifying factor OSS/TSS was also used to increase the correlations between spectra and Chl in the low concentration model. The result shows the concentration classification models allowed estimation of Chl with a RMSE of 21.12 μg/L, whereas the classical statistical experience model allowed the RMSE of Chl estimation was above 35.0 μg/L. It demonstrated the fitness and robustness of this method for Chl retrieval in turbid, productive waters, like Taihu Lake.

Abstract: It is of great significance to discover the salt crust characteristics and search for the scientific basis of the causes of "Great Ear" rings on remote sensing images in research of ancient environment evolution in Lop Nur "Great Ear" dry salt lake area.This study extracts the wetness index and part of texture characteristics from remote sensing images Landsat ETM+ and establishes the digital elevation model based on image characteristics and DGPS data in the area.In the statistical analysis of the various characteristics of the numerical classification,select the best combination of bands on the basis of amendments to the optimum index factor EOIF.Combined analysis of experimental data and a comprehensive field study established the salt crust classification of the dry salt lake area,classified the remote sensing images ETM+ by using decision tree technology,the overall classification accuracy comes to 86.3% and the Kappa coefficient is 0.8420.Classification results show that different types of salt crust in space were showed ring-shape as same as the "Great Ear" rings of remote sensing images;salt crust put up to intersection in the same band of images;similar shape of salt crust shows different hues by the impact of humidity of surface on the images.

Abstract: CBERS-02B can acquire different spatial resolution and multi-spectral data which improves its application ability greatly.However,the spatial resolutions of HR and CCD are different so largely that resolution merge often cause some problem such as spectral distortion.In this paper,we proposed a two step resolution merge method of HR and CCD data of CBERS-02B.The result shows that the method is effective and can improve the final result of resolution merge compared with the normal method.

Abstract: This paper introduce the algorithms,process and the product level of MODIS data.especially we describe MODIS data structure and metadata meaning in details.At last,we introduce the common software used to deal with MODIS data.This work in this paper has laid a good foundation for the application of the MODIS landsurface production in some fields.

Abstract: High resolution remote sensing image contains rich spatial information,for which pixel-based traditional classification methods can't satisfy the accuracy requirements.Accounting for this request,object-oriented image analysis method is presented in this paper.Firstly,the image is properly segmented using its spectral and shape factors.Then the distinguishing knowledge base of decision trees is built and objects are assigned to some classes.The results show that the object-oriented approach gives more accurate results than those achieved by traditional classification algorithms,and that it can provide a useful attempt to urban classification of hybrid object spectrum by building the distinguishing knowledge base for decision trees.

Abstract: The images taking from the forest area have the same texture,it is hard to do their registration.To the large area mosaic of images,it is difficult to set control points using conventional aerotriangulation.In this article,we try to use SIFT to extract feature from UAV images.Then these images are mosaicked together.

Abstract: On the basis of the quantitative remote sensing theories, we measure the water sample of Pear river in the same zone during flood season and beyond the flood season synchronously by SEAWiFS and traditional measure way, and at the same time make sure the correlation of the data simultaneously, then work out the remote sensing reflectance of TM imagery relevant to the spectrum instrument. The hydrologic observation site works out the suspended sediment concentration. Eight kinds of the experiment models are derived from the correlation of the reflectance and the concentration. It is concluded that the spectrum of TM3 measured during flood season correlates best with suspended sediment concentration; and the ratio of TM3 to TM2 has the best correlation with the concentration beyond the flood season. Based on the experiments, the results of inversion are better when corresponding model with each season is applied.

Abstract: Inversion of vegetation parameters by polarimetric interferometric SAR has attracted considerably increasing interest in the field of radar remote sensing and many methods of inversion of vegetation parameters have been proposedIn this paper,these methods are classified to four classes firstlyThen the basic theories of these methods are systematically studiedAfterwards,the estimated performances of these methods are compared and the advantages and disadvantages of these methods are pointed outThen the key techniques of Inversion of vegetation parameters are abstractedAt the end,the future research fields are proposed

Abstract: Remote sensing technique has become one of the most important means of red tide detectionNow,there have been a number of successful applications of red tide detections using remote sensing technology in the worldThe present detecting technology basically based on the true color images of the ocean,chlorophyll a(CHL-a) maps and sea surface temperature(SST) maps,however,these methods all have some limitationsIn this paper,the author suggested a process based on the spectral signature and spectral angle mapping(SAM) method to detect red tidesAs preprocess,minimum noise transform(MNF) and pixel purity index(PPI) should be done to collect the end-membersThen,we can select the end-members in the n-dimensional visualization of ENVI softwareBy examining the end-members' spectral signature,people can tell whether it is the red tide pixel or not,even which dominant species are as well with a complete spectral librariesFinally,with the SAM method,red tide class can be highlightedIt is also very convenient to do the area calculation and change detection after this kind of classification,and with the high temporal resolution of MODIS,it is possible for us to analyze the relationship of the probable influencing factors of red tides and the change of red tide area based on the change detectionThat will be helpful to realize the red tide prediction which could minimize the losses caused by red tides

Abstract: This paper studied the latest applications in the field of remote sensing image analysis based on wavelet using classification method.The characteristics and validity of wavelet analysis in remote sensing image processing, such as image compression and coding, remote sensing image fusion, image edge detecting and texture information extracting were analyzed. Application tendency of wavelet in remote sensing is discussed, and some problems about image processing with wavelet analysis, which have not been solved, are also presented.

Abstract: Using a series of MODIS satellite images from October to December in 2007,this study adopts empirical model to estimate chlorophyll-a and phycocyanin concentration and retrieves the cyanobacteria blooms information based on threshold values.Results show the blooms occurred frequently in the west bank and the center of the lake,where the frequency and covering area were higher than those in the north bays,during October,November and December,2007.The average covering area of cyanobacterial blooms in the three months is 261.5km2,321.6 km2 and 163.3 km2,respectively.Therefore,the blooms were marked smaller in December than in October and November.During bloom period,the average chlorophyll-a and phycocyanin concentrations are about 45μg/L and 180μg/L,respectively.The spatial distribution,covering area,and pigment concentration changed quickly in short time in bloom period.

Abstract: This paper proposed a complete change detection method,which uses the segments obtained from the conflation of the GIS data and remote sensing images.The mission of change detection is turned into a two categories division using the similarity of vectors——change and not change.Then,a similarity measure is constructed and the threshold is calculated by data mining.We compare the method using the similarity measure and the related coefficient.It shows that the similarity is more suitable for the change detection.

Abstract: Hough transform is a primary way to detect straight line,but the hough transform has some problems about the accuracy and efficiency.In this paper,we present a method for detecting the building edge lines and perform an experiment on DSM.The method we describe in this paper absorbs the "voting procedure" in hough transform.After getting the edge using sobel operator,and labeling the edge of all buildings.Then identify straight lines of the labeled edge separately.We label the objects and get the edge points' coordinates in sequence.Because two points can determine a line,so if the endpoints are known,we can get the line's slope and the line can be determined by the obliquity which extracted from the voted accumulator.Experimental results indicate that the approach can detect the straight line segment precisely and simply.

Abstract: The use of Landsat TM satellite remote sensing technology and wheat yield estimation model to monitor the winter wheat planting area and estimate winter wheat yield in Jiangyan City,Jiangsu Province.In November 2008,10 test sites and 4 test areas were distributed almost all over the county.The geographical position and some other information of these samples such as areas' shapes,had been measured by the hand-hold GPS machines.The GPS data and the interpretation mark are used to correct TM image,verify the unsupervised classification,assist human-computer interactive interpretation,and other operations.The test data had been participated the whole classification process.The accuracy of interpret information is more than 90%.The leaf area index(LAI) got from the Normalized Difference Vegetation Index(NDVI) inversion and the biomass from the Ratio Vegetation Index(RVI) inversion,combine with the wheat yield estimation model can be classified the winter wheat yield,and made a winter wheat crop production Grading thematic map.

Abstract: Airborne LiDAR is composed of IMU/DGPS system,laser ranger,digital camera and computer control system.DEM and Digital Orthophoto can be directly produced with the 3D data that LiDAR acquired quickly.This paper based on laser point cloud data,DEM and Orthophoto actively research how to use LiDAR to generate 1∶2000 topographic maps in an actual project.The final measurement result testifies the airborne LiDAR suits creating large scale topographic maps.

Abstract: CBERS-02B can acquire different spatial resolution and multi-spectral data which improves its application ability greatly.In order to select optimum change detecting method,we extracted land change information from two temporal CCD data by several normal algorithms.The result shows that the band ratio is more suitable to extract majority land change information of CCD data and manual interpretation is necessary in order to gain satisfactory result.