最新刊期
卷 14 ， 期 3 ， 2010
- 摘要：This paper describes the field imaging spectrometer system（FISS） based on a cooling area CCD,describing its imaging principle,structural design,main technology parameters,and data processing flow.Geometric rectification of the FISS was implemented using precise indoor markers and outdoor measured data.Spectral calibration of the FISS was conducted using self-programmed spectral calibration software which determined the center wavelength and the full width at half maximum of each band.An integrating sphere was used to achieve absolute radiometric calibration of the FISS with less than 5% calibration error for each band.In addition,a look-up table of radiometric calibration coefficients for various measured conditions was generated and various laboratory and field tests were carried out.Crop-weed discrimination,offshore marine environment monitoring,milk discrimination,and estimation of vegetation biochemical information were studied using previously acquired data.The FISS provided successful results for all of the above examples,suggesting its potential application in other fields,including geo-logy,food science,agriculture,forestry,and urban research.关键词：hyperspectral remote sensing;imaging spectrometer;field imaging spectrometer system（FISS）;system design;remote sensing application
- 137
- |
- 1072
- |
- 11
发布时间：2021-06-10 - 摘要：High-accuracy 3D image positioning is considered as the foundation of lunar topographic mapping.This study simulated the influence on image positioning from errors and correlations of Chang’e-1 optical sensor orientation elements,and established the rigorous block adjustment model suitable for lunar optical remote sensing images.The errors and area limits caused by the lunar curvature were avoided in this model established under the Selenocentric Orthogonal Coordinate System（SOCS）,the accidental errors of exterior line elements were reduced by orbit fitting and interpolation,the polynomial orders of systematic errors in satellite orbits were decreased with their expression in the flying coordinate system moving and rotating with satellites,and the reliability of exterior orientation solution was enhanced under the condition of sparse and low accuracy control points by appending constraint of orbit and attitude parameters.Finally,60 scenes of Clementine images near the south pole of the Moon were utilized in 10 strips with the area of around 195000km2 and ULCN2005 GCPs as the experimental data,and a series of helpful results was achieved on image positioning of the Moon.关键词：rigorous model;image orientation;lunar mapping;error simulation
- 139
- |
- 473
- |
- 4
发布时间：2021-06-10 - 摘要：This paper,based on Fourier-transform-based Harmonic Analysis Algorithm,proposes an improved algorithm to overcome the drawback of artificially setting key parameters and to reconstruct high-quality time-series data.Firstly,outlier detection algorithm,instead of threshold setting method,is used to find unreasonable data points before curve fitting.Then,regarding the inherent phenological regulation for each land cover,Numbers of Frequency（NOF） is calculated pixel by pixel by polynomial fitting,which is more reasonable than setting a unique global NOF for the whole scene which contains complex land cover types.Fitting-effect Index,instead of manually setting one fitting tolerance,is employed to decide automatically when to terminate the iteration.The improved method is validated by the MODISEVI time series of Huabei plain of 2003.The widely used Harmonic Analysis of Time Series（HANTS） is chosen as a comparison.The result shows that both of the two methods can reflect the phenological regulations of land covers,the reconstructed EVI temporal profile of single-season cropland（e.g.cotton） takes on one peak pattern,and those of double-season cropland and inland water take on double peak pattern and low-steady curve.But the improved method performs better in tracking the change tendency of the original curve.Moreover,the peak time and peak value of croplands are mostly consistent with the original curve,which will be useful for VI-based crop yield prediction.关键词：vegetation index image time series;Filter;Fourier Harmonic Analysis;outlier detection;fitting-effect Index
- 123
- |
- 734
- |
- 9
发布时间：2021-06-10 - 摘要：A new method of automatic region registration method based on spatially assistant planes is introduced in this paper.The method integrates both algorithm features of the global-region registration method’s high precision and the local-region registration method’s low complexity.Spatially assistant features with the same angle and resolution are calculated from,and the gray similarity is defined by normalized cross-correlation coefficient.By introducing the spatially assistant planes,spatially assistant features and gray similarity are combined together to register images.Two groups of images SPOT and ASTER,ASAR and ASTER,were tested.A mosaic was formed from the reference and re-sampled sensed images.In the mosaic,lineal features are well-aligned,which effectively proves that the automatic registration has a high accuracy.关键词：spatially assistant plane;active and passive remote sensing images;automatic region registration;positive and negative function transforms;transform model
- 194
- |
- 313
- |
- 1
发布时间：2021-06-10 - 摘要：Remote sensing images are sometimes corrupted by blur and noise.To solve this problem,a novel blur estimation and restoration approach is presented in this paper.The approach uses a high quality image of the same scene as a reference.Such a reference image is usually available,given the increasing popularity of remote sensing applications.With the reference image,the point spread function（PSF） of another more blurry image can be less difficultly and more accurately estimated in the Bayesian framework.Once the PSF is known,many deconvolution approaches can be employed such as the total variation minimization method,which was used in this paper.Experiments with real remote sensing images show that the proposed method can effectively estimate the PSF and restore the blurred image.关键词：blur estimation;Image restoration;reference image;Bayesian estimation
- 111
- |
- 257
- |
- 2
发布时间：2021-06-10 - 摘要：Spatio-temporal association rules mining is a key technology and a hot issue in the field of spatio-temporal data mining.The classical Apriori algorithm is usually utilized to detect the spatio-temporal association rules from the spatio-temporal transaction table,which is derived from the original spatio-temporal data.In most existing approaches to generate the spatio-temporal transaction table,many defects,such as data redundancy,further affects the efficiency of spatio-temporal association rules mining.This paper proposes an events-coverage based spatio-temporal association rules mining（ECSTAR for short） to overcome these limitations.ECSTAR employs the event’s coverage to divide the researching spatio-temporal domain into some cells to generate a spatio-temporal transaction.Among each cell,spatio-temporal relationship predications are utilized to present the spatio-temporal relationship between the events and spatio-temporal objects.Thus,the spatio-temporal transaction table is built and spatio-temporal association rules are mined by the Apriori algorithm.Moreover,many concepts about ECSTAR are expounded and its algorithm is narrated in detail.Finally,a practical experiment demonstrates the feasibility and validity of the ECSTAR.关键词：spatio-temporal association rules;spatio-temporal event;event coverage;spatio-temporal transaction table
- 150
- |
- 583
- |
- 3
发布时间：2021-06-10 - 摘要：Endmember extraction is one of the key problems for mixel classification of multispectral imagery.Existing algorithms based on convex simplex often find endmembers within the whole convex simplex so that their speeds are slower when more samples are used to obtain endmembers.Since only the vertexes of convex simplex are probably endmembers and they must be located in the boundary of convex simplex,the search space will shrink a lot if finding endmembers is performed only within the boundary points of convex simplex.According to this theory,this paper presents the endmember extraction algorithm based on the boundary of convex simplex.The algorithm includes determination of boundary of convex simplex and fast finding endmembers within the boundary points of convex simplex.Experiments show that the algorithm can find endmembers not only correctly but also faster than existing algorithms.关键词：mixel;endmember;convex simplex;simplex’s boundary;endmember extraction
- 138
- |
- 237
- |
- 5
发布时间：2021-06-10 - 摘要：There are usually few training samples in the tasks of content-based remote sensing image retrieval,which will lead to over-learning problem while using this small data set for training.In this paper a novel approach using co-training in multiple classifier systems is presented,which can label the unclassified samples automatically by using the cooperative determination of the classifiers which are created on several different feature sets,so that the small sample problem can be raveled out.Compared with the technique of relevance feedback,the experiments indicate that they have their own strengths and can obtain almost the same results.However,the proposed approach of co-training in multiple classifier systems is superior in regard of avoiding the needs of human intervention through relevance feedback.关键词：remote sensing;content-based image retrieval（CBIR）;co-training;multiple classifier systems;semi-supervised learning
- 107
- |
- 561
- |
- 4
发布时间：2021-06-10 - 摘要：The effect of scale is continuously attracting attentions in geomatics,bionomics and environmentology.Many methods have been developed for the selection of optimal scale,including those based on local variance,variogram and transformed divergence.However,there are some problems associated with these methods,which limit their applications in practice.This paper presents a new method for optimal scale selection,based on information entropy.The novelty of this new method is that the multi-spectral information is fully used to define the optimal scale.In this method,（a） information entropy is introduced to quantify the uncertainty in image classification;（b） the spatial distribution is also taken into account.This new method has been evaluated and also compared with the existing methods,i.e.,those based on local variance,variogram and transformed divergence.Two types of image are used,i.e.TM（Thematic Mapper） which has relatively low resolution and Quickbird image which has high resolution.The experimental results show that the proposed algorithm is capable of effectively determining the optimal scale for these images.In the case of classification of Quickbird image,objected-oriented classification technology is used and the results prove that the new method not only works well with traditional classifiers but also performs with object-oriented classifiers for high resolution images.A comparative analysis shows that the new method performs much better than existing methods.关键词：optimal scale;resolution;information entropy;multi-spectral information;image classification
- 142
- |
- 1723
- |
- 15
发布时间：2021-06-10 - 摘要：This paper proposes a new way to detect the targets in remote sensing images based on the tensor learning machine（TLM）.This method is based on tensor and tensor algebra.To utilize the multidimensional data of the remote sensing image,the vector-based learning machine is generalized to the tensor-based learning machine which accepts tensors as input,then the con-vex optimization theory and the alternating projection procedure are used to get the solution of the TLM.TLM is tested to target detection using the hyperspectral remote sensing data and high resolution remote sensing data.The experiments demonstrate the effectiveness of the proposed method,by comparing TLM with support vector machine,the tensor learning machine can keep a high probability of successful detection and reduce the false alarm.关键词：tensor;convex optimization;supervised learning;target detection
- 127
- |
- 705
- |
- 3
发布时间：2021-06-10 - 摘要：Cloud removal is an important step in remote sensing image process.In this paper,the author proposed a new algorithm for cloud removal using multi-temporal Landsat TM image data based on spectral characteristics analysis.Through the spectral characteristics analysis of the thick cloud region and its shadow region,the thick cloud and its shadow identification models were designed.Using image regression,unsupervised classification and pixel replacing techniques as well as these models,the influence of thick clouds and its shadows can be eliminated or reduced in the Landsat TM images.The result shows that the algorithm can eliminate or significantly reduce the cloud influence from Landsat TM image data.关键词：Landsat TM;image data;cloud and shadow;spectral analysis;cloud removal
- 223
- |
- 2685
- |
- 23
发布时间：2021-06-10 - 摘要：In this paper,we propose a new ship detection model based on SAR imagery.The model uses the Pearson distribution system to simulate the backscattering distribution of ocean surface on SAR imagery.In the Pearson distribution system,four distributions including the Pearson distributions of typeⅠ（γ）,Ⅲ,Ⅳ（Inverse γ） and Ⅵ are employed.Using these four distributions,we build a CFAR equation.A distribution selection machine based on β plane is used to select which distribution is adopted to specified SAR imagery.We can get four equations and the threshold of gray level.Then,using the threshold,the model can find ships from SAR images.Some tests show this model working well.
- 137
- |
- 243
- |
- 1
发布时间：2021-06-10 - 摘要：This paper presents an evidence theory based change detection method capable of utilizing multiple image features. With a moving window, we first get the structural similarities of both time phase image visual features and construct the basic probability assignment function （BPAF） of D-S evidence theory. We then fuse all the evidence and get the changed image areas with decision rules. Comparative work on different experimental areas, combinations of change evidence and with other meth- ods has been carried out. It shows that our method prevents effectively the detection errors from only utilizing single feature and thus improves the detection precision. Furthermore, since the image similarity is derived from image statistical features rather than original grey, texture and gradient features, this method is robust to low calibration precision.关键词：evidence theory;change detection;high spatial resolution image;multi-feature;structural similarity
- 178
- |
- 1202
- |
- 9
发布时间：2021-06-10 - 摘要：In the context of contemporary improved international cooperation in earth observation,this paper assesses the potential contributions from China to the Global Earth Observation System of Systems（GEOSS）.Based on an analysis of existing barriers to Chinese contributions to GEOSS,this paper makes recommendations for the development of international cooperation in earth observation area by China leading to the mutual benefits for China and the international community through Chinese involvement in GEOSS.关键词：earth observation;international cooperation;GEOSS
- 140
- |
- 330
- |
- 5
发布时间：2021-06-10 - 摘要：Leaf area index（LAI） is an important bio-physical character of vegetation and can be effectively achieved through remote sensing technology.However the LAI inversion from low resolution data induces a scaling bias due to the heterogeneous of the surface and model non-linearity,which may cause the scale effect on the LAI estimate.In this work,the Yingke oasis of Heihe River is selected as the study area.Based on Hyperion data,a two-layer canopy reflectance model（ACRM） is introduced to calculate LAI.The low resolution LAI are then achieved in two ways:LAImean,the mean of LAI,is directly calculated from Hyperion;and the LAIp is computed from linear cumulative Hyperion data.Statistics shows that there is a serious underestimation of LAIp.On the basis of LAI-NDVI regresion equation,the Taylor Mean Value Theorem is applied to creat an error factor and to conduct scaling error correction.The result of error correction（LAIr） has a high relationship with LAImean,which shows that the method is effective and suitable for scale effect correction and can be used to correct other LAI product,such as MODIS LAI.Finally,the causes for scaling bias are discussed.It is found that the spatial heterogeneous is the key factor which may lead to the error in LAI inversion.关键词：Hyperion;leaf area index;scale effect;inversion;error correction
- 148
- |
- 1398
- |
- 9
发布时间：2021-06-10 - 摘要：As human activities expanding and the process of urbanization in the past decades,urban land use changes very quickly at different scales in China.Extensive studies have been carried out to extract information of land use changes from remote sensing data.Conventional remote sensing change detection methods such as direct comparison and post-classification comparison are performed at pixel level.However,these methods have been proved to be less effective in quantitatively detecting subtle changes within one land use class than detecting land use transitions,i.e.qualitative changes occurred between different land use classes.To enable the capability of detecting quantitative changes in urban land use,a change detection method is proposed based on impervious surface mapping with multi-resolution remotely sensed data.Urban development leads to the increase of impervious surfaces in urban areas,and the impervious surface has been recognized as an important urban land cover type and one of the key factors in the land,hydrological,climatic,ecological and environmental studies.In this paper,the classification and regression tree（CART） algorithm is used with both high-resolution（QuickBird） and medium-resolution（Landsat5 TM） remote sensing data to establish prediction models of impervious surface percentage（ISP）.Based on bi-temporal results of ISP prediction,urban land use changes from 2002 to 2006 are detected in Tai’an city of Shandong province.Furthermore,preliminary analysis for these urban land use changes is carried out.The experimental results demonstrated the feasibility and effectiveness of this change detection method which can be used as a supplement to conventional change detection methods.关键词：impervious surface;classification and regression tree;land use;change detection
- 158
- |
- 1395
- |
- 10
发布时间：2021-06-10
- Postal code：100190
- Tel：010-58887052 Email：nrsb@aircas.ac.cn
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备20021838号-9
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
0