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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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Detection and feature extraction of bridges in airborne and spaceborne SAR image data

Detection and feature extraction of bridges in airborne and ...

引用

conference on remote sensing for Environmental Monitoring, GIS Applications, and Geol VIIl

作者： Schuiz, Karsten Cadario, Erich Gross, Hermann Hammer, Horst Thiele, Antje Thoennessen, Ulrich Soergel, Uwe Weydahl, Dan J. FOM Res Inst Optron & Pattern Recognit Ettlingen Germany Leibniz Universitat Hannover Inst Photogrammetry & Geoinformat Hannover Germany Norwegian Def Res Estab FFI Land & Airsyst Div Kjeller Norway

ISBN: (纸本)9780819469076

Operational SAR satellite systems such as ENVISAT-ASAR and RADARSAT-1 deliver image data of a rather coarse resolution, which allows the recognition or feature extraction only for large man-made objects. State of the art airborne SAR sensors on the other hand provide spatial resolution in the order well below a half meter. In such data many features of urban objects can be identified and used for recognition. Core elements of man-made infrastructure are bridges. In case of bridges over water, the oblique side looking imaging geometry of SAR sensors may lead to special signature in a SAR image depending on the aspect. In this paper, the appearance of bridges over water in SAR data is discussed. Geometric constraints concerning the changing of this signature are investigated using simulation techniques based on an adapted ray tracing. Furthermore, an approach is presented to detect bridges over water and to derive object features from spaceborne and airborne SAR images in the context of disaster management. RADARSAT-1 data with a spatial resolution of about 9 in as well as high-resolution airborne SAR data of geometric sampling distance better than 40 cm are investigated.

关键词： SAR Synthetic aperture radar geospatial intelligence infrastructure change detection bridges

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28th Asian conference on remote sensing 2007, ACRS 2007

28th Asian Conference on Remote Sensing 2007, ACRS 2007

引用

28th Asian conference on remote sensing 2007, ACRS 2007

ISBN: (纸本)9781615673650

The proceedings contain 320 papers. The topics discussed include: monitoring of paddy rice planting with complex cropping pattern using satellite remote sensing data - a case of West Java, Indonesia;change in leaf anatomy, total chlorophyll content, and canopy reflectance of field grown rice as a function of nitrogen status;assessment crop yield estimation methods by using satellite images and ground observation;mapping of urban above-ground biomass with high resolution remote sensing data;GIS, remote sensing and image processing techniques involved in land use and land cover classification of Hydrabad city;near real time active fire monitoring system for Southeast Asia using MODIS imagery;development of multi remote sensing satellites mission planning system;landslide susceptibility mapping using GIS;e-flood map: flood damage assessment in Thailand;multi-sources data integration for mine geohazards monitoring;and RS/GIS for flood risk management in Sukhothai province.

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Improved model for dielectric behavior of moist saline soil

Improved model for dielectric behavior of moist saline soil

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5th International Symposium on Multispectral image processing and pattern recognition

作者： Gong, Huaze Shao, Yun Liu, Jinghui Hu, Qingrong Tian, Wei Chinese Acad Sci State Key Lab Remote Sensing Sci Inst Remote Sensing Applicat Beijing 100101 Peoples R China China Aerosp Sci & Ind Corp Beijing Peoples R China

ISBN: (纸本)9780819469519

This paper introduces a new amendment dielectric model in the microwave band concerning the principle of soil science which can also give the information about soil texture and variety of soluble salt ions, and points out some errors of original model at the same time. The new model is confirmed suitable for saline soil with different levels of moisture and salinity soil samples prepared in lab. Based on the research on the dielectric properties of saline and alkali soils, this paper also brings forward the feasibility of separating them. Contrasts to the classic dielectric models of soil, all the parameters of the improved model have their physical meanings, and the procedures avoid neglecting principle of soil science and optimization blindly. So the parameters can give us more information about moist saline soil. This study sums up dielectric properties of moist soil, and adds salt-affected factor. Thus we can describe dielectric behavior of moist saline soil more precisely. In further research it pays attention to the relationship between dielectric properties and backscattering coefficients or polarimetric information extracted from radar image.

关键词： complex dielectric constant dielectric loss soil salinity volumetric moisture soil texture soluble salt ions dielectric measurement

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Texture classification of aerial image based on Bayesian Networks

Texture classification of aerial image based on Bayesian Net...

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conference on pattern recognition and Computer Vision

作者： Ma, Li Yu, Hongjing Li, Jiatian Chen, Hao Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China China Inst Water Resources & Hydropower Res Beijing 100044 Peoples R China China Univ Min & Technol Beijing 100083 Peoples R China

ISBN: (纸本)9780819469526

Classification is a basic topic in data mining and pattern recognition. Following advances in computer science, a lot of new methods have been proposed in recent years, such as artificial neural networks, decision trees, fuzzy set and Bayesian Networks, etc. As a probabilistic network, Bayesian Networks is a powerful tool for handling uncertainty in data mining and many other domains. Naive Bayes Classifier (NBC) is a simple and effective classification method, which is built on the assumption of conditional independence between the class attributes. This topology structure can not describe the inherent relation among the features. In this paper, we apply Bayesian Networks Augmented Naive Bayes (BAN) for the texture classification of aerial images, which relaxes the independent assumption in NBC. A new method for learning the networks topology structure based on training samples is adopted in this paper. Comparison experiments show higher accuracy of BAN classifier than NBC. The results also show the potential applicability of the proposed method.

关键词： Bayesian Networks classifier texture classification aerial image

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Color image segmentation by integrating texture measure into JSEG method

Color image segmentation by integrating texture measure into...

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5th International Symposium on Multispectral image processing and pattern recognition

作者： Sheng, Qinghong Zhang, Jianqing Xiao, Hui Wuhan Univ Inst Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469502

We present a new color image segmentation method that combined texture measures and the JSEG (J measure based JSEGmentation) algorithm. In particular, two major contributions are set forth in this paper. (1) The two measures defined in JSEG and the Laws texture energy is discussed respectively and then we find that the over-segmentation problem of JSEG could be attributed partly to the absence of color discontinuity in the J measure. (2) A new measure is proposed by integrating the Laws texture energy measures into the J measure, on which our segmentation method is based. The new segmentation method taking account of both textural homogeneity and color discontinuity in local regions can be used to detect proper edges at the boundaries of shadows and highlights. Performance improvement due to the proposed modification was demonstrated on a variety of real color images.

关键词： color image segmentation JSEG Laws texture energy homogeneity measure

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The improvement of Lee-Chiu's remote user authentication scheme

The improvement of Lee-Chiu's remote user authentication sch...

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3rd International conference on Intelligent Information Hiding and Multimedia Signal processing

作者： Chan, Chao-Wen Lin, Chung-Chih Natl Taichung Inst Technol Dept Informat Management Taichung 404 Taiwan Natl Taichung Inst Technol Taichung 404 Taiwan

The presented paper points out some security weaknesses of the authentication scheme proposed by Lee and Chiu in 2005. Based on our analysis of the scheme, we present a scheme which can improve the security of Lee-Chi... 详细信息

ISBN: (纸本)9780769529943

关键词： Authentication

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Research issues in image registration for remote sensing

Research issues in image registration for remote sensing

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conference on Computer Vision and pattern recognition (CVPR)

作者： Roger D. Eastman Jacqueline Le Moigne Nathan S. Netanyahu Loyola College Baltimore MD USA NASA Goddard Space Flight Center Greenbelt MD USA University of Maryland College Park MD USA Bar-llan University Israel

image registration is an important element in data processing for remote sensing with many applications and a wide range of solutions. Despite considerable investigation the field has not settled on a definitive solution for most applications and a number of questions remain open. This article looks at selected research issues by surveying the experience of operational satellite teams, application-specific requirements for Earth science, and our experiments in the evaluation of image registration algorithms with emphasis on the comparison of algorithms for subpixel accuracy. We conclude that remote sensing applications put particular demands on image registration algorithms to take into account domain-specific knowledge of geometric transformations and image content.

关键词： image registration remote sensing Data processing Satellite broadcasting Production Educational institutions NASA image sensors Biomedical imaging Geoscience

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Parsing silhouettes without boundary curvature

Parsing silhouettes without boundary curvature

引用

14th International conference on image Analysis and processing

作者： Juengling, Ralf Prasad, Lakshman Portland State Univ Dept Comp Sci POB 751 Portland OR 97201 USA Int Space & Response Div Los Alamos Natl Lab Space & Remote Sensing Sci Grp ISR 2 Los Alamos NM 87545 USA

ISBN: (纸本)9780769528779

We describe a new decomposition algorithm for two-dimensional, polygonal shapes. The algorithm first finds a set of overlapping ribbon-like subshapes ("ribbons") by grouping skeleton fragments into long smooth spines. The parts are then obtained by cutting the ribbons along lines of mutual intersection. With this approach we find part cuts that obey heuristic rules of early vision [17] without using boundary curvature.

关键词： shape decomposition delaunay triangulation saliency network perceptual grouping

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Application and comparison of resolving methods in SAR image ortho-rectification based on *** model - art. no. 67871P

Application and comparison of resolving methods in SAR image...

引用

5th International Symposium on Multispectral image processing and pattern recognition

作者： Yang, Bo Wang, Chao Zhang, Hong Zhang, Bo CAS China Remote Sensing Satellite Ground Stn Beijing 100086 Peoples R China

ISBN: (纸本)9780819469519

In this paper *** model is first realized by programming to accomplish SAR image ortho-rectification, in order to validate the feasibility of this model. Then, for calculating exterior orientation elements of satellites, this paper uses some different solution methods such as Singular Value Decomposition (SVD), Ridge Estimate (RE), Generalized Ridge Estimate (GRE), Linear elements and Angle elements Detaching arithmetic (LAD) and so on, and compares them in iteration stability, convergence rate and result precision. Some primary conclusions are summarized at last.

关键词： SAR image ortho-rectification collinearity equation G.Konecny model exterior orientation elements solution method iteration threshold convergence precision

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Road extraction based on scansnake for Beijing-1 image

Road extraction based on scansnake for Beijing-1 image

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5th International Symposium on Multispectral image processing and pattern recognition

作者： Gong, Jianming Yang, Xiaomei Wang, Min Lu, Jian Zhang, Dandan Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Peoples R China Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Peoples R China Chinese Acad Sci State Key Lab Resources & Environm Informat Syst Beijing Peoples R China Nanjing Normal Univ Sch Geograph Sci Nanjing Peoples R China

ISBN: (纸本)9780819469502

Beijing-1 small satellite image of 4m high resolution not only makes it possible to extract the detailed information that is difficult to be obtained from low-resolution images, but also brings out new research subjects for automatic extraction and identification of thematic information. The reason for this are as follows:(1) the obvious increase of data requires higher spatial and temporal efficiency of image data retrieval, display, processing, etc.;(2) due to the highly detailed information of high resolution image, under the influence of the Bidirectional Reflectance Distribution Function (BRDF), different parts of the same object may have different grey levels;together with factors such as object shadow, mutual cover, and cloud cover, the phenomenon of same object, different spectrum of high resolution images becomes more prominent, and the different object, same spectrum still exists, which brings greater difficulties to the work of information extraction [1][2]. The road of high resolution image has the following features: (1) the width of the road varies slightly and slowly;(2) the direction of the road varies slowly;(3) the local mean grey level of the road varies slowly;(4) the road is relatively long. Due to the increase of the resolution, the noises such as bridges, cars and trees along the road and its edge also increase. The paper proposes a new road extraction algorithm namely Scansnake aimed at the features of Beijing-1 images. A large amount of experiments proved that Scansnake algorithm has the advantage of object tracking, and under a series of complex conditions such as the variation of the width of the road and the change of grey feature distribution, Scansnake method can extract the road information of the high resolution Beijing-1 image.

关键词： Beijing-1 small satellite road extraction Scansnake algorithm section plane analysis

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