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

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Selection of fusing methods with SAR and TM data to monitor flood quickly

Selection of fusing methods with SAR and TM data to monitor ...

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conference on image processing and pattern recognition in remote sensing

作者： Chen, GH Tang, LL Dai, CD Jiang, XG Chinese Acad Sci China Remote Sensing Satellite Ground Stn Beijing 100864 Peoples R China

ISBN: (纸本)081944684X

Data fusion of SAR (during flood event) and LANDSAT TM (before flood event) has been well known to detect flood disaster, owing to that the all-weather and all-time ability of microwave remote sensing and the abundant information and good interpretation of TM. In this paper, firstly, an approach named TIN (Triangulated Irregular Network) was used for registration, with better accuracy than other general methods. Secondly, according to statistic analysis including interband correlation and entropy, etc. the selection of the optimal bands of TM was discussed. In order to monitor flood event better and more quickly in future, we analyzed various fusion approaches to see which is optimal and less time-consuming with the data of 98's flood happened to the Yangtze River. As a result, the pseudocolor image of composition of TM5-SAR-TM3 is the best, however, the combinations of TM5-SAR-TM2, TM7-SAR-TM2 and TM7-SAR-TM3 are also alternative and feasible.

关键词： TM synthetic aperture radar (SAR) image fusion technology IHS entropy TIN PCA pseudocolor composition

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Satellite sensing image analysis by integrating neural network with knowledge reasoning technique

Satellite sensing image analysis by integrating neural netwo...

引用

conference on image processing and pattern recognition in remote sensing

作者： Li, CF Xia, DS Wang, YQ Zou, H Nanjing Univ Sci & Technol Comp Vis Lab Nanjing 210094 Peoples R China

ISBN: (纸本)081944684X

In this paper, a new classified method for satellite sensing data is proposed by using both a neural network and knowledge reasoning technique. Neural network model can better distinguish land of level 1, but if more subdivision needed, it seldom get satisfied result. Knowledge reasoning system can use human geographical knowledge to improve the classification results, but it needs a large amount of assistant knowledge to classify the data correctly. The new method makes use of the advantages of both the neural network and knowledge reasoning technique, and fulfils layered intelligent extraction of linear object and plane-like object for satellite sensing image. It firstly extracts water and road information by neural network and pixel-based knowledge post-processing method, then remove them from original image, and then segments other plane-like object by neural network model, and respectively computes their features, including texture, elevation, slope, shape etc., then extracts them by polygon-based uncertain reasoning method. At last experimental results indicates that the new method outperforms the single neural network method and moreover avoids the complexity of single knowledge reasoning technique.

关键词： neural network knowledge reasoning satellite sensing image layered extraction linear object plane-like object

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Line extraction in SAR images

Line extraction in SAR images

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conference on image processing and pattern recognition in remote sensing

作者： Wang, C Wang, RS Natl Univ Def Technol ATR Natl Lab Changsha 410073 Hunan Peoples R China

ISBN: (纸本)081944684X

This paper presents a line extraction algorithm in SAR (Synthetic Aperture Radar) images. The algorithm is designed based on the statistical characteristics of the speckle in SAR image. Three steps are involved. Firstly, a new edge detector, which combines the Canny operator and Ratio operator, is used to detect the edge points and calculate their directions, then the edge points are grouped according to their edge direction to form the initial lines. Finally, a high-level grouping step connects the fragmental lines. The proposed new edge operator is CFAR (Constant False Alert Rate) and prevents the line from cleavage. The algorithm has been applied in the X-band airborne SAR images, and the results are presented at the end of this paper.

关键词： SAR image processing speckle line extraction edge detection high-level grouping

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Two Sequential Stages Classifier for Multispectral Data

Two Sequential Stages Classifier for Multispectral Data

引用

conference on Computer Vision and pattern recognition Workshop, CVPRW 2003

作者： Mohamed, Refaat M. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville LouisvilleKY40292 United States

ISBN: (纸本)0769519008

In this paper, we present an approach for the classification of remote sensing multispectral data, which consists of two sequential stages. The first stage exploits the capabilities of the Support Vector Machines (SVM) approach for density estimation and uses it in a Bayes classification setup. In a typical image, the class of a pixel is highly dependent on the classes of its neighbor pixels. The second stage exploits the dependency of the classes. We incorporate this dependency using stochastic modeling of the context as a Markov Random Field (MRF). The MRF is modeled using Besag model and implemented using the Iterative Conditional Modes (ICM) algorithm. Results show that the stochastic modeling approach enhances the results and provides reasonable smoothness in the classified image. © 2003 IEEE.

关键词： remote sensing

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

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

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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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Multi-sensor image correction technique using selected variables and biased estimation model

Multi-sensor image correction technique using selected varia...

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conference on image processing and pattern recognition in remote sensing

作者： Bai, LF Qian, WX Zhang, Y Zhang, BM Nanjing Univ Sci & Technol Sch Elect Engn & Optoelect Technol Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)081944684X

In many case, the traditional image geometric calibration method, i.e. polynomial warping will not accommodate the precision transformation required. So the least square method is often used to improve the precision. But because of the multi-relation, the calibration is not so good as expected. In this paper, the theory and experiment studies on the traditional, least square method used in image calibration are carried out systematically. With regard to the diversity of image distortion, the selected variables method is applied, which smartly analyses the variables of transformation equation of different images. Through reducing the variables unnecessary, the multi-relation is reduced. Then the ridge-regression is employed, in which the biased estimation is used to solve the huge confidence interval problem that is resulted by multi-relation. The theory and experiment results show that by using this new technique, the multi-relation is reduced and the precision is improved apparently.

关键词： image geometric correction information fusion control point method multi-relation ridge-regression

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A combined model- and image-based procedure for calibrating multitemporal sequences of TM and ETM+ imagery to absolute reflectance values

A combined model- and image-based procedure for calibrating ...

引用

conference on image processing and pattern recognition in remote sensing

作者： Renzullo, LJ McGann, BT Lynch, MJ Curtin Univ Technol Dept Appl Phys Perth WA 6845 Australia

ISBN: (纸本)081944684X

An extension to the like-value procedure is proposed for calibrating multitemporal sequences of TM and ETM+ imagery to absolute reflectance values. The procedure described differs from the conventional approach by using a calibrated reference image and constraining the line of best fit to pass through the modeled digital number (DN) for a target with zero surface reflectance. It was demonstrated that the resulting lines calibrate image DNs to surface reflectance values by simultaneously correcting for the additive and multiplicative components of the sensor output that result from changes in sensor response, solar position and atmospheric effects over time. In a comparison to reference image reflectances, the precision of the procedure was shown to be very good for the visible spectral bands but poorer for the infrared bands. Generally errors in retrieval were within the range considered acceptable for most practical applications. For the data used in the analysis, the procedure was shown to be insensitive to uncertainty in input parameters required to model path DN.

关键词： multitemporal image calibration path radiance modeling sensitivity analysis

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A robust contour model for matching synthetic aperture radar (SAR) images with maps

A robust contour model for matching synthetic aperture radar...

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conference on image processing and pattern recognition in remote sensing

作者： Zhao, Y Chen, YQ Fudan Univ Dept Comp Sci & Engn Shanghai 200433 Peoples R China

ISBN: (纸本)081944684X

This paper deals with the registration of images which are subject to translation, rotation, scaling and other geometric transformations. The problem is tackled with a contour-based registration technique. We present a novel approach for finding a representation of planar curves and matching such two representations in this paper. In our framework, the matching of curves is proceeded by 1) using connected equi-length line segments (CELLS) to represent curves, (2) attaching an identification vector to each line segment, which reflects the distribution of the rest of line segments with respect to the current one using orientation difference between cells. A new matrix called Orientation Difference Matrix (ODM) has been constructed from the identification vectors. This approach uniquely specifies a curve and the representation for matching is invariant under rotation, scaling and translation of the curve. A practical use of the proposed approach is demonstrated by registering a SAR image of a certain area to a map.

关键词： registration connected equi-length line segment identification vector SAR image orientation difference matrix

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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 ...

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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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Spectral fuzzy classification system for target recognition 22

Spectral fuzzy classification system for target recognition

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22nd International conference of the North-American-Fuzzy-Information-processing-Society (NAFIPS)

作者： Del Amo, A Gómez, D Montero, J Smiths Aerosp Elect Syst Grand Rapids MI USA

ISBN: (纸本)0780379187

The goal of this paper is to present an algorithm for terrain matching, leveraging an existing fuzzy clustering algorithm, and modifying it to its supervised version, in order to apply the algorithm to georegistration and, later on pattern recognition. Georegistration is the process of adjusting one drawing or image to the geographic location of a "known good" reference drawing, image, surface or map. The georegistration problem can be treated as a pattern recognition problem;and it can be applied to the target detection problem. The terrain matching algorithm will be based on fuzzy set theory as a very accurate method to represent the imprecision of the real world, and presented as a multicriteria decision making problem. The energy emitted and reflected by the Earth's surface has to be recorded by relatively complex remote sensing devices that have spatial, spectral and geometrical resolution constraints. Errors usually slip into the data acquisition process. Therefore, it is necessary to preprocess the remotely sensed data, prior to analyzing it (image restoration, involving the correction of distortion, degradation and noise introduced during the rendering process). In this paper we shall assume that all these problems have been solved, focusing our study on the image classification of a corrected image being close enough, both geometrically and radiometrically, to the radiant energy characteristics of the target scene. In particular, at a first stage we consider each pixel individually;and a class will be assigned to each pixel, taking into account several values measured in separate spectral bands. Then we shall describe an automatic detection system based on a previous algorithm developed in A. Del Amo et al. [3, S], introducing now the fuzzy partition model proposed by A. Del Amo et al. [2, 4]. A first phase will lead to a spectral definition of patterns;and a second phase will lead to classification and recognition. Similarity measures will then allow us to

关键词： Clustering algorithms Decision making Earth Fuzzy set theory Fuzzy systems Object detection pattern matching pattern recognition Surface treatment Target recognition

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