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检索条件"任意字段=Conference on Image Processing and Pattern Recognition in Remote Sensing"

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Registration of LIDAR and optical images using multiple geometric features

Registration of LIDAR and optical images using multiple geom...

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5th International Symposium on Multispectral image processing and pattern recognition

作者： Deng, Fei Li, Shuiming Zhang, Jianqing Su, Guozhong Wuhan Univ Sch Geodesy & Geomat 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ Sch Remote Sensing Informat Engn Wuhan 430079 Turkey Chinese Acad Sci Acad Optoelect Beijing 100080 Peoples R China

ISBN: (纸本)9780819469519

This paper describes an algorithm framework for registration of airborne based laser scanning data (LIDAR) and optical images by using multiple types of geometric features. The technique utilizes 2D/3D correspondences between points and lines, and it could easily be extended to general features. In generalized point photogrammetry, all lines and curves are consists of points, which could be describe in collinear equation, so it cloud represent all kinds of homogeneous features in an uniform framework. For many overlapping images in a block, the images are registered to the laser data by the hybrid block adjustment based on an integrated optimization procedure. In addition to the theoretical method, the paper presents a experimental analysis the sensitivity and robustness of this approach.

关键词： laser image registration photogrammetry

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Improvements to expectation-maximization approach for unsupervised classification of remote sensing data

Improvements to expectation-maximization approach for unsupe...

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9th Brazilian Symposium on GeoInformatics, GEOINFO 2007

作者： Korting, Thales Sehn Dutra, Luciano Vieira Fonseca, Leila Maria Garcia Erthal, Guaraci Da Silva, Felipe Castro Image Processing Division National Institute for Space Research - INPE São José dos Campos - SP Brazil

ISBN: (纸本)9788517000362

In statistical pattern recognition, mixture models allow a formal approach to unsupervised learning. This work aims to present a modification of the Expectation-Maximization clustering method applied to remote sensing images. The stability of its convergence has been increased by supplying the results of the well-known K-Means algorithm, as seed points. Hence, the accuracy has been improved by applying cluster validity measures to each configuration, varying the initial number of clusters. High-resolution urban scenes has been tested, and we show a comparison to supervised classification results. Performance tests were also realized, showing the improvements of our proposal, in comparison to the original one.

关键词： Maximum principle

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Lips-control assistive communication system for the serious disabled

Lips-control assistive communication system for the serious ...

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IEEE International conference on Electron Devices and Solid-State Circuits

作者： Chen, Shih-Chung Chien, Ching-Yi Chang, Wei-Min So Taiwan Univ Dept Elect Engn Tainan Taiwan

ISBN: (纸本)9781424406364

We realized a set of assistive system based on lips images recognition for communication of the disabled. This system is composed with the software system mainly and the hardware system auxiliary. In this system, the software system can be divided into two major parts. The first part is to develop a recognition algorithm for the opened/closed status of lips images, including the face detection, the face tracking, the lips pattern recognition, the lips locations and extraction, the lips images processing etc. The second part is to develop a fuzzy algorithm for recognizing long tone/silence or short tone/silence of Morse codes. After the fuzzy recognition, the open/close statuses of lips images can be transferred to Morse codes to input the characters, achieving the functions of word processing. Regarding to the hardware of the assistive system, we have primarily realized the remote control system for electrical home appliances. Once it obtains information of open/close statuses of lips images after the software recognition, then the original parallel port interface of general computer and RF module can be used to carry out further remote control function of home appliances. In conclusion, we have completed the assistive communication system for the disabled with no need of any type of appurtenance. We improve some defects of traditional auxiliary system. It will be unnecessary to wear any type of appurtenance. We believe that the assistive system will be more helpful for the serious disabled especially with vertebra damaged. We hope our study can improve the communication abilities of the disabled and make some contributions to society.

关键词： image processing face tracking lips recognition auxiliary devices for the disabled morse code fuzzy theory

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Classifying rural land-use using multi-feature approach for national land-use survey

Classifying rural land-use using multi-feature approach for ...

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15th International conference on Geoinformatics

作者： Xia, Fan Liu, Y. F. Wuhan Univ Sch Resource & Environm Sci Wuhan 430072 Peoples R China Wuhan Univ Minist Educ Key Lab Geog Informat Syst Wuhan Peoples R China

ISBN: (纸本)9780819469120

This study put forward a standardize classification model which can meet the requirement of rural land use survey and be suitable for large-scale promotion at the same time, but not merely the research limited in the experiment lab.. In this processing, the land cover classification may adopt the mutli-feature image classification method as followed. Firstly, a class scheme was defined. Then, some suitable features were selected, and every subclass was characterized with a unique combination of these features, in which landscape pattern parameter is one of essential features in consideration. Landscape pattern parameters can treat surface features and its distribution as integration and synthesis, which would help much to the classification. Using these features, image could be recognized and classified easily. Lastly, verify the precision and accuracy of the classification model. By using this classification method, classification accuracy can be improved, and the classification results were easier interpreted when compared with the conventional classification method.

关键词： RS landscape pattern indices LSI ENN multi-feature classification

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Large-scale building scenes reconstruction from close-range images based on line and plane feature

Large-scale building scenes reconstruction from close-range ...

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MIPPR 2007: pattern recognition and Computer Vision

作者： Ding, Yi Zhang, Jianqing School of Remote Sensing Information Engineering Wuhan University 129 Luoyu Road Wuhan 430079 China

ISBN: (纸本)9780819469526

Automatic generate 3D models of buildings and other man-made structures from images has become a topic of increasing importance, those models may be in applications such as virtual reality, entertainment industry and urban planning. In this paper we address the main problems and available solution for the generation of 3D models from terrestrial images. We first generate a coarse planar model of the principal scene planes and then reconstruct windows to refine the building models. There are several points of novelty: first we reconstruct the coarse wire frame model use the line segments matching with epipolar geometry constraint;Secondly, we detect the position of all windows in the image and reconstruct the windows by established corner points correspondences between images, then add the windows to the coarse model to refine the building models. The strategy is illustrated on image triple of college building.

关键词： image reconstruction

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Geological zoning of tideland Sediments by a combination of sample reflectance and satellite remote sensing

Geological zoning of tideland Sediments by a combination of ...

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12th conference of the International-Association-for-Mathematical-Geology

作者： Koike, Katsuaki Oda, Yuya Yoshinaga, Tohru Liu, Chunxue Yamada, Fumihiko Kumamoto Univ Grad Sch Sci & Technol 2-39-1 Kurokami Kumamoto 8608555 Japan Kumamoto Univ Tech Div Fac Engn Kumamoto Japan

ISBN: (纸本)9780973422030

For detecting spatio-temporal changes of tideland environments in a closed sea by remote sensing technique, geological zoning is proposed based on the surface reflectance spectra from visible to short wave infrared wavelength. The spectra are characterized by sample measurements and satellite image data analyses. The measurements clarify that the spectra patterns, which are the increase degree of reflectance with wavelength and the existence of reflectance absorption, are attributable to the mineral composition and that the magnitudes of reflectance are determined by particle size of the sediments. In general, the spectra are classified into two types which are mainly located around two river mouths. We present effectiveness of two-band ratio processing and color composite using ASTER image data for the geological zoning. The zoning is also investigated by a kriging method using the sernivariograrn of the average reflectance of image data and the category data depending on the spectral pattern at the sample locations. The kriging map can contribute to interpret the extent of sediments bearing similar particle size and main constituent minerals.

关键词： Reflection

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Semi-empirical model for topographic/atmospheric correction in Jiangxi rugged area, China - art. no. 678721

Semi-empirical model for topographic/atmospheric correction ...

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5th International Symposium on Multispectral image processing and pattern recognition

作者： Wen, Jianguang Liu, Qinhuo Xiao, Qing Li, Xiaowen CAS IRSA State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China

ISBN: (纸本)9780819469519

A method based on BRDF for topographic correction and surface reflectance estimation from Landsat TM over rugged terrain is presented. The BRDF factor is used to remove the variation of relative solar incidence angle and relative sensor viewing angle per pixel. Solar direct radiance, sky diffuse radiance and adjacent terrain reflected radiance as well as atmospheric transmittance and path radiance are analyzed in detail and calculated in per pixel using a look up table (LUT) with a digital elevation model (DEM). The method is applied to a Landsat TM imagery that covers a rugged area in Jiangxi province, China. Results show that atmospheric and topographic correction based on BRDF factor gives better surface reflectance.

关键词： topographic correction BRDF rugged terrain

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Visual inspection of industrial sheet metal part with CAD data

Visual inspection of industrial sheet metal part with CAD da...

引用

MIPPR 2007: pattern recognition and Computer Vision

作者： Min, Tang Zuxun, Zhang Jianqing, Zhang School of Remote Sensing and Information Engineering Wuhan University 129 Luoyu Road Wuhan 430079 China

ISBN: (纸本)9780819469526

Introduce a CAD-based visual inspection system, which is designed to measure geometry dimension of sheet metal parts automatically, such as distance, angle, parameters of circle, etc. The inspection system extracts the features of sequence images depending on CAD data, and then to reconstruct real 3D of part. It outputs the measurement results against the various requirements of customer. The main contents of the paper include searching and matching of group of lines with image space constrains;visual inspection and reconstruction of sheet metal parts based on the photogrammetry generalized point photogrammetry. The result of experiments shows that the inspection system is robust and achieves the precision level of repeated manual measurement of an experienced inspector. The arithmetic discussed in the paper has potential to deal with another object with sharpness edges except sheet metal part.

关键词： Sheet metal

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High resolution satellite imagery segmentation based on adaptively integrated multiple features

High resolution satellite imagery segmentation based on adap...

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5th International Symposium on Multispectral image processing and pattern recognition

作者： Wang, Aiping Tian, Peng Wang, Shugen Wuhan Univ Sch Remote Sensing Informat Engn 129 Luoyu Rd Wuhan 430079 Peoples R China Beijing Informat Resource Management Ctr Beijing 100082 Peoples R China

ISBN: (纸本)9780819469502

Automatic segmentation of high resolution satellite (HRS) imagery is the first step and a very important part of object-oriented approaches. The HRS sensors increase the spectral within-field heterogeneity and the structural or spatial details of images. Spatial features are important to HRS image analysis in addition to spectral information. This paper presents a novel feature extraction method and evaluates its performance on segmentation of HRS images based on adaptively integrating multiple features. The first two principal component (PC) images are obtained by principal component analysis (PCA) of a multispectral image and used to calculate the texture and spectral distributions of a region, which are denoted by two-dimensional (2D) histograms. The 2D texture histogram of a region is the joint distribution of its two texture labeled images calculated by rotation invariant local binary pattern (LBP) operator. The spectral distribution of a region is the joint distribution of the pixel values of its two PC images after normalization. The color feature is a 2D hue/saturation histogram that is computed through IHLS color space. The three features are integrated by a weighted sum similarity measure and used to hierarchical splitting, modified agglomerative merging and boundary refinement segmentation framework. The segmentation scheme based on adaptively integrating multiple features demonstrates promising results.

关键词： high resolution satellite (HRS) imagery image segmentation principal component analysis (PCA) feature distributions

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Unsupervised change detection on SAR images using markovian fusion

Unsupervised change detection on SAR images using markovian ...

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MIPPR 2007: remote sensing and GIS Data processing and Applications;and Innovative Multispectral Technology and Applications

作者： Chen, Keming Huo, Chunlei Cheng, Jian Zhou, Zhixin Lu, Hanqing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China Beijing Institute of Remote Sensing Beijing 100854 China

ISBN: (纸本)9780819469540

In this paper, we present a novel unsupervised change detection approach in temporal sets of synthetic aperture radar (SAR) images using Markovian fusion. This method is carried out within a Markovian framework which combines two different change detection algorithms to achieve noise removing and spatial information preserving at the same time. This approach is composed of two steps: 1) two change maps are generated by two distinctive but complementary approaches respectively;2) final results are achieved by fusing the two change maps within a Markovian framework. In the first step, two different thresholding algorithms are selected to get two change maps aimed at speckle noise removing and spatial contexture preserving respectively;In the second step, a solution to fusion the two change maps through a Markov random field framework is proposed. The minimization of energy function is carried out through iterative conditional mode (ICM) algorithm because of its simplicity and moderate computation-consuming. Experiments results obtained on a SAR data set confirm the effectiveness of the proposed approach. It shows that the fusion approach based on MRFs model is a promising way of achieving robust unsupervised change detection.

关键词： Synthetic aperture radar

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