3D surface reconstruction is one of the hotspots in Computer Vision and remotesensing. Relative orientation is a important part of 3D surface reconstraction. The traditional method that finding the paraments of relat...
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ISBN:
(纸本)0819430064
3D surface reconstruction is one of the hotspots in Computer Vision and remotesensing. Relative orientation is a important part of 3D surface reconstraction. The traditional method that finding the paraments of relative oriented model is Newton Method, but it is highly sensitive to the initial values of paraments. To overcome this shortage, we give a method of using penalty function to find the relative oriented model in this paper.
This article addresses the application of patternrecognition techniques for the analysis of urban and rural areas based on high resolution panchromatic space-borne imagery. In particular, we focus on the problem of f...
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The development of technology of space rapid location, geographical information system (GIS), spectral radiation measurement, computer manipulation of image and picture, and communication provides advantage environmen...
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ISBN:
(纸本)0819429643
The development of technology of space rapid location, geographical information system (GIS), spectral radiation measurement, computer manipulation of image and picture, and communication provides advantage environments the engineering the remotes sensing technology. However, for the remotesensing information identification, because of the differences between areas, local environments, seasons, ground object features, and so on, though the same type of ground object spectral curve may be concluded a standard ground object spectrum of certain regular pattern in the macroscopic, there are great differences in the spectrum radiation characters of every ground object in the microscopic. In order to collect automatically remotesensing information of the ground objects to decide exactly the type and characteristics of the ground object, the key is to obtain the synchronous ground object radiation spectrum surveyed by remotesensing data. On the basis of the ground object radiation spectrum, with the reference to the background provided by the normal ground spectrum, the data from GIS, space orientation system and expert system, the target will be identified reliably and exactly by using digital image and graphic processing method supported by computer. It is necessary to use the observing station of radiation spectrum on the ground to design and develop the automatic ground spectrum surveying instruments corresponding to space remotesensing. Thus, the spectrum information at different areas, environments and time can be observed, recorded and transferred to the ground station of space remotesensing from corresponding communication means. As a basis part of remotesensing data, it can be directly provided to consumers, makes the remotesensing technology become an engineering means, and can used widely.
This paper reviews general methodologies for hyper-spectra imageprocessing and provides a systematic way of hyperspectra data exploitation. Although the paper reviews the most recent hyperspectra processing technique...
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This paper reviews general methodologies for hyper-spectra imageprocessing and provides a systematic way of hyperspectra data exploitation. Although the paper reviews the most recent hyperspectra processing techniques, which are available in the open literature, it focusses on those that have been recently developed by the authors. These approaches often complement work presented by others. Since the field of hyperspectra processing is relatively new, and is growing rapidly, it is a field rich of research areas with many unsolved problems. Its significance in military, and more generally in remotesensing applications, is tremendous. Furthermore, this paper has the objective to offer a quick look to the many approaches, to put in light the authors' recent developments in this field, and to serve as a background for new advances.
The proceedings contain 487 papers. The topics discussed include: a non-linear filtering approach to image matching;multiresolution stereo image matching using complex wavelets;search-based contour closure in range im...
ISBN:
(纸本)0818685123
The proceedings contain 487 papers. The topics discussed include: a non-linear filtering approach to image matching;multiresolution stereo image matching using complex wavelets;search-based contour closure in range images;surface recovery by using regularization theory and its application to multiresolution analysis;nonparametric optimal binarization;automatic quadratic calibration for correction of pixel classifier boundaries to an accuracy of 2.5 millimeters: an application in cardiac imaging;using geometric properties for correspondence-less image alignment;reconstruction from affine cameras using closure constraints;a remotesensing data fusion approach to monitor agricultural areas;registration of video to geo-referenced imagery;terrain reconstruction with an adaptive surface mesh;segmentation of urban scenes from aerial stereo imagery;and detecting changes of buildings from aerial images using shadow and shading model.
The proceedings contain 487 papers. The topics discussed include: a non-linear filtering approach to image matching;multiresolution stereo image matching using complex wavelets;search-based contour closure in range im...
ISBN:
(纸本)0818685123
The proceedings contain 487 papers. The topics discussed include: a non-linear filtering approach to image matching;multiresolution stereo image matching using complex wavelets;search-based contour closure in range images;surface recovery by using regularization theory and its application to multiresolution analysis;nonparametric optimal binarization;automatic quadratic calibration for correction of pixel classifier boundaries to an accuracy of 2.5 millimeters: an application in cardiac imaging;using geometric properties for correspondence-less image alignment;reconstruction from affine cameras using closure constraints;a remotesensing data fusion approach to monitor agricultural areas;registration of video to geo-referenced imagery;terrain reconstruction with an adaptive surface mesh;segmentation of urban scenes from aerial stereo imagery;and detecting changes of buildings from aerial images using shadow and shading model.
The development of effective methods in environmental pollution control is a main task of environmental research. Fourier-transform infrared spectroscopy is an efficient technique for the detection and quantification ...
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ISBN:
(纸本)0819429643
The development of effective methods in environmental pollution control is a main task of environmental research. Fourier-transform infrared spectroscopy is an efficient technique for the detection and quantification of molecules in gas mixtures. A passive infrared system designed to detect specific pollution clouds in the atmosphere and sound an alarm in time. The sensor is a Fourier transform spectrometer operating in the 8 similar to 12 mu m atmosphere window region of the spectrum. The system can be operated unattended and be highly reliable and accurate in its decisions. An on-board microcomputer will be applied to achieve automatically control of system, acquire data, process it and make decisions. The paper describes the signal processing and spectral patternrecognition techniques. Measurement results for ambient air with the spectrometer are reported.
The context of this study is the 3D reconstruction of urban scenes from aerial images. We intend to estimate a dense depth map precise enough to be exploited by recognition algorithms. In this paper, we show how a mul...
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ISBN:
(纸本)0819429597
The context of this study is the 3D reconstruction of urban scenes from aerial images. We intend to estimate a dense depth map precise enough to be exploited by recognition algorithms. In this paper, we show how a multi-view approach made up of very simple and automatic operations can achieve this goal. Unlike 2-view stereovision methods, we do not exploit a disparity map for depth estimation. The proposed method consists in directly scanning depth. For each depth hypothesis, a reference image is projected by using a planar perspective transformation. The correct hypothesis is found pixel by pixel by minimizing a simple matching criterion based on a gray level comparison. We calculate this criterion for each pixel of the reference image, each depth hypothesis and each baseline formed with the reference image and an other image of the sequence. The estimated depth map obtained with a synthetic aerial image sequence, shows that exploiting several images with different baselines reduces the reconstruction errors due to noise and false matches. We have implemented an algorithm composed of simple automatic computations, that should be highly parallelisable.
Recent research has demonstrated that a backpropagation neural network classifier is a useful tool for multispectral remotesensingimage classification. However, its training time is too long and the network's ge...
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Recent research has demonstrated that a backpropagation neural network classifier is a useful tool for multispectral remotesensingimage classification. However, its training time is too long and the network's generalization ability is not good enough. Here, a new method is developed not only to accelerate the training speed but also to increase the accuracy of the classification. The method is composed of two steps. First, a simple penal term is added to the conventional squared error to increase the network's generalization ability. Secondly, the fixed factor method is used to find the optimal learning rate. We have applied it to the classification of landsat MSS data. The results show that the training time is much shorter and the accuracy of classification is increased as well. The results are also compared to the maximum likelihood method which demonstrate that the back-propagation neural network classifier is more efficient.
The authors investigate the reliability of a semi-automated system designed to locate the Maltese front from satellite AVHRR and SAR imagery. The opening and closing operations of mathematical morphology afford a mean...
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