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Detection of streets based on KLT using ikonos multispectral images 2

Detection of streets based on KLT using ikonos multispectral...

引用

2nd GRS/ISPRS Joint Workshop on remote sensing and Data Fusion over Urban Areas

作者： Quintiliano, P Santa-Rosa, A Federal Police of Brazil Computer Crimes Sector SHIN QI 13 Conj. 1 Casa 6 Brasilia CEP 71535-010 DF Brazil University of Brasilia Department of Computer Science Institute of Earth Sciences Vila W. Roriz Quadra L 10-A Granja do Torto Brasilia CEP 70000-000 DF Brazil

ISBN: (纸本)0780377192

In this paper we propose a target detection approach, in order to detect streets, using an Ikonos multispectral image, with 3 spectral bands, based on KLT - Karhunen-Loeve Transform. Our approach is trained to track for asphalt areas, with the aim of finding out the asphalt streets on the image. The approach performs dimensionality reduction, using only the eigenvectors with the highest eigenvalues, generating an eigenspace of low dimension. The target detection is done finding out the shortest Euclidean distance among the primitives of the new images and the primitives of the class we are working with.

关键词： image processing object recognition pattern recognition object detection

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Pixel-based image fusion with false color mapping

Pixel-based image fusion with false color mapping

引用

conference on image processing and pattern recognition in remote sensing

作者： Zhao, W Mao, SY Beijing Univ Aeronaut & Astronaut Dept Elect Engn Fac 203 Beijing 100083 Peoples R China

ISBN: (纸本)081944684X

In this paper, we propose a pixel-based image fusion algorithm that combines the gray-level image fusion method with the false color mapping. This algorithm integrates two gray-level images presenting different sensor modalities or at different frequencies and produces a fused false-color image. The resulting image has higher information content than each of the original images. The objects in the fused color image are easy to be recognized. This algorithm has three steps: first, obtaining the fused gray-level image of two original images;second, giving the generalized high-boost filtering images between fused gray-level image and two source images respectively;third, generating the fused false-color image. We use the hybrid averaging and selection fusion method to obtain the fused gray-level image. The fused gray-level image will provide better details than two original images and reduce noise at the same time. But the fused gray-level image can't contain all detail information in two source images. At the same time, the details in gray-level image cannot be discerned as easy as in a color image. So a color fused image is necessary. In order to create color variation and enhance details in the final fusion image, we produce three generalized high-boost filtering images. These three images are displayed through red, green and blue channel respectively. A fused color image is produced finally. This method is used to fuse two SAR images acquired on the San Francisco area (California, USA). The result shows that fused false-color image enhances the visibility of certain details. The resolution of the final false-color image is the same as the resolution of the input images.

关键词： image fusion data fusion multisensor fusion false color

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Use discrete chromatic space to tune the image tone in color image mosaic

Use discrete chromatic space to tune the image tone in color...

引用

3rd International Symposium on Multispectral image processing and pattern recognition

作者： Zhang, ZX Li, ZJ Zhang, JQ Zheng, L Wuhan Univ Coll Remote Sensing & Informat Engn Wuhan 430072 Peoples R China

ISBN: (纸本)0819451819

Color image process is a very important problem. However, the main approach presently of them is to transfer RGB colour space into another colour space, such as HIS (Hue, Intensity and Saturation), YIQ LUV and so on. Virtually, it may not be a valid way to process colour airborne image just in one colour space. Because the electromagnetic wave is physically altered in every wave band, while the color image is perceived based on psychology vision. Therefore, it's necessary to propose an approach accord with physical transformation and psychological perception. Then, an analysis on how to use relative colour spaces to process color airborne photo is discussed and an application on how to tune the image tone in color airborne image mosaic is introduced. As a practice, a complete approach to perforin the mosaic on color airborne images via taking full advantage of relative color spaces is discussed in the application.

关键词： color space image mosaic

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Color map segmentation algorithm based on neural network and heuristic learning

Color map segmentation algorithm based on neural network and...

引用

3rd International Symposium on Multispectral image processing and pattern recognition

作者： Ni, L Zhang, JQ Li, J Liu, JB Wuhan Univ Coll Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

Color image segmentation is useful in many applications. However, due to the difficult nature of the problem, there are few algorithms that can work well on a large variety of data. Color topographic map is a kind of special one, which has only a few colors to represent geographic features. Current image-processing software based on statistic techniques couldn't perfectly extract objects from some small-scale color maps, especially extract dense contours, it would produce too many broken lines or clung lines. Therefore it is still necessary to research and develop more practical algorithm of color segmentation. Considering the drawbacks of statistic clustering pattern recognition, some scholars propose new color-segmentation methods based on neural network (NN), which is powerful as a nonlinear classifying tool. A lot of work has been done, but there are still some practical details that should be done in order to let NN method get used in current general image-processing software. The pure NN algorithm applied in color segmentation has some weakness in speed and processing some small-scale color maps, which should be improved. The main characters of color topographic map are analyzed in this paper. By using this knowledge, a feedforward neural network is constructed, and a heuristic learning algorithm is proposed to provide significant speedup and make the algorithm more practical. The approach combines neural network with statistic techniques and is very effective in color image segmentation.

关键词： color segmentation neural network heuristic learning

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A study on the extraction of DEM from single SAR image

A study on the extraction of DEM from single SAR image

引用

3rd International Symposium on Multispectral image processing and pattern recognition

作者： Yang, J Li, DR Wuhan Univ LIESMARS Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

SAR is a side-looking imaging mode and its image is very sensitive to the terrain shape. The little undulation of the terrain may induce the change of the image gray distribution and/or the texture characteristics. In this paper, the radarclinometry for extracting digital elevation from single SAR image is investigated, which is based on the shape-from-shading principle developed in computer vision, consists in estimating the geometric parameters of a ground, from its radiometry and more precisely from the backscattered intensity coming from a piece of imaged ground. Firstly, the approaches for generation of the digital elevation from the SAR image data are discussed. Secondly the method of radarclinometry will be briefly described. The elevation reconstruction relies on the Lambertian assumption for the terrain backscatter model. Then a single-line integral process is applied to calculate each pixel altitude, but it is still contaminated by noise. Finally the multi-line integral processing with various directions and the simulated annealing algorithm are respectively introduced to improve the single-line integral processing result. The presented experiment results promising in many geographic applications. This is an interesting technique of relief restoring, because it uses one single image only.

关键词： microwave remote sensing SAR image radarclinometry digital elevation map many lines integration simulated annealing arithmetic

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Determination of exterior parameters for video image sequences from helicopter by block adjustment combined vertical and oblique images

Determination of exterior parameters for video image sequenc...

引用

3rd International Symposium on Multispectral image processing and pattern recognition

作者： Zhang, JQ Zhang, Y Zhang, ZX Wuhan Univ Coll Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

Determination of image exterior parameters is a key aspect for the realization of automatic texture mapping of buildings in the reconstruction of real 3D city models. This paper reports about an application of automatic aerial triangulation on a block with three video image sequences, one vertical image sequence to buildings' roofs and two oblique image sequences to buildings' walls. A new process procedure is developed in order to auto matching homologous points between images in oblique and vertical images. Two strategies are tested. One is treating three strips as independent blocks and executing strip block adjustment respectively, the other is creating a block with three strips, using the new image matching procedure to extract large number of tie points and executing block adjustment. The block adjustment results of these two strategies are also compared.

关键词： exterior parameters video image sequences automatic matching block adjustment oblique image

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Geomorphological study of Samaria gorge (Crete) using remote sensing techniques and GIS

Geomorphological study of Samaria gorge (Crete) using Remote...

引用

2nd conference on remote sensing for Environmental Monitoring, GIS Applications and Geology

作者： Vaiopoulos, D Vassilopoulos, A Evelpidou, N Skianis, G Univ Athens Dept Geol Remote Sensing Lab GR-15784 Athens Greece

ISBN: (纸本)0819446688

In this paper we study Samaria gorge through recognition, recording and visualization of geomorphological characteristics. Geomorphological characteristics collected through remote sensing techniques, are compared with those collected through stereoscopic observation of aerial photos and fieldwork. At the first phase, the aerial photos of the studied area were scanned and through selected digital image processing algorithms, the geomorphological characteristics were stressed and recorded. At the second phase a geomorphological map was created based on data derived from stereoscopic observation of the area aerial photos and fieldwork. During fieldwork a GPS was used, which was connected with the GIS in order to immediately record and test the measured characteristic position. Finally the combination of two methods took place in order to develop a geomorphological map.

关键词： Samaria gorge GIS geomorphology chartography remote sensing photointerpretation

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Detection of linear geological features (jointing) by Hough Transform of multispectral remotely sensed images

Detection of linear geological features (jointing) by Hough ...

引用

2nd conference on remote sensing for Environmental Monitoring, GIS Applications and Geology

作者： Barducci, A Mecocci, A Paperini, A CNR IFAC I-50127 Florence Italy

ISBN: (纸本)0819446688

This paper discusses the recognition of geological lineaments seen in multispectral images of the Earth collected at optical wavelengths. The possibility of discerning jointing of rocks from natural and artificial image objects is thoroughly discussed. This problem is addressed by using an original image classification algorithm that enables us to detect urban areas and rivers. Once that a reliable sub image freed from possible artefact causes is isolated the true analysis of linear features is performed. This analysis takes advantage from the use of the Hough transform, in order to carry out the automatic identification of linear features and their analysis. The performance of the algorithm has been investigated by processing high resolution aerial photogrammetry and Thematic Mapper images. Tests as far executed have shown a good ability of the algorithm to accurately map image spatial features with linear morphology, and very rare occurrence of mix-up with different image objects.

关键词： jointing of rocks recognition Hough transform image classification multispectral images Rose diagram

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The research of a binocular sequence imagery aided navigation technique

The research of a binocular sequence imagery aided navigatio...

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3rd International Symposium on Multispectral image processing and pattern recognition

作者： Hu, QW Li, QQ Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

This paper discusses stereo photogrammetry analytic principle of the binocular sequence images and deduces the formula of the movement parameters estimate model. An aberrance correction model and sensors 3D spatial relationship calibration method is proposed. On this foundation, the common principle, calculation model and implement preceding and methods of the binocular sequence images aided GPS/INS navigation are summarized. A method that used for positioning and orientation by GPS/INS assisted by motion analysis is proposed. Based on case of rapid scatter when GPS is lost, this method used the constraint offered by relative position and attitude from motion analysis to improve precision of position and navigation and constrain the scatter process. The experiment results of the vehicle navigation in GPS blocking case show the high navigation precision with the technique of the binocular sequence images aided GPS/INS navigation. Key Word binocular sequence image, imagery-aided navigation, movement estimate;photogrammetry model.

关键词： binocular sequence image imacrery-aided navigation movement estimate photograrnmetry model

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On the study of BRDF changing feature of winter wheat in different season

On the study of BRDF changing feature of winter wheat in dif...

引用

3rd International Symposium on Multispectral image processing and pattern recognition

作者： Zhao, F Wang, J Tang, SH Yan, GJ Jiao, ZT Li, XW Beijing Normal Univ Dept Geog Res Ctr Remote Sensing Beijing 100875 Peoples R China

ISBN: (纸本)0819451819

The anisotropic reflectance of vegetation canopy is mainly determined by its spectral and structural features, and can be described by Bidirectional Reflectance Distribution Function (BRDF). In this article, we select the winter wheat from the beginning of April to the beginning of May 2001 at Shunyi county, north of Beijing, as the research object, to study its BRDF changing rule with the changing time. In the process we compute the structural scattering index (SSI) by inverting the semiempirical linear kernel-driven BRDF model, and analyze its relation with the leaf area index (LAI) of winter wheat. The results show that there is a clear linear relationship between SSI and LAI of winter wheat. So SSI can well be used to reflect the seasonal BRDF changing rule of winter wheat.

关键词： BRDF winter wheat kernel-driven model structural scattering index leaf area index

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