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2011 International Symposium on Image and Data Fusion, ISIDF 2011

作者： Ji, Luyan Jiang, Kang Geng, Xiurui Tang, Hairong Yu, Kai Zhao, Yongchao Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Science Beijing China

ISBN: (纸本)9781457709692

To conserve and manage wetland resources, it is important to map wetlands and monitor their changes. However, wetland mapping is difficult because of spectral confusion with other landcover classes and spectral variability among different types of wetlands. This paper demonstrated a multi-source based approach for improving the accuracy of wetland mapping. According to the formation of wetland, variables derived from multi-source image date, and other ancillary GIS layers were first integrated to create the possible region for wetland (PRW). And then classification was conducted within the PRW to map wetlands. PRW could greatly reduce the amount of other land cover classes that participated in the classification, therefore reducing both the difficulty of wetland mapping and the commission error rate. In this study, we chose the test area in Dongzhai Harbor, Hainan Island, China, where the main wetland type is mangrove. The mapping was based on LANDSAT TM/ETM+ imagery combined with DEM data, and the ancillary GIS data included available water, soil and vegetation layers. The thematic accuracy of the mapping was assessed using highresolution images from Google Earth and local wetlands databases. Classification of the 2001 Landsat ETM+ scene alone resulted in consumer's accuracy of 65% and Kappa coefficients of 0.69, whereas the multi-source based approach with the same training samples resulted in an accuracy of 86% and 0.80. The developed method is portable, relatively easy to implement, and should be applicable in other landcover classes and over larger extents. © 2011 IEEE.

关键词： Wetlands

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An invariant generalized Hough transform based method of inshore ships detection

An invariant generalized Hough transform based method of ins...

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2011 International Symposium on Image and Data Fusion, ISIDF 2011

作者： Xu, Jian Fu, Kun Sun, Xian Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781457709692

Automatic inshore ship detection from remote sensing imagery has many important applications, such as ship change detection and harbor dynamic surveillance. Stable performance of inshore ship detection is vital to the analysis of ship change and then determines the harbor surveillance effect. However, it is hard to detect inshore ships utilizing the traditional area-based method because the grayscale and texture character of inshore ships are similar to that of the shore. In this paper, a new method based on invariant generalized Hough transform is introduced to extract ship shape using the evidence-gathering procedure. In contrast with other shape extraction methods used in inshore ships detection, our method is specially tolerant to noise and occlusion, and also invariant to translation, scale and rotation transformation. Moreover, our method can be used to separate ships moored together that can benefit to ship recognition. Experiment results are demonstrated on the optical remote sensing imagery from Google Earth. © 2011 IEEE.

关键词： Ships

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An Approach for Spaceborne InSAR DEM Inversion Integrated with Stereo-SAR Method 6

An Approach for Spaceborne InSAR DEM Inversion Integrated wi...

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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

作者： Li, Fangfang Zhang, Yueting Qiu, Xiaolan Key Laboratory of Geo-spatial Information Processing and Application System Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728129129

Spaceborne Interferometric Synthetic Aperture Radar (InSAR) has the capability of high precise topographic mapping for large area. However, on the one hand, digital elevation models (DEM) inversion needs at least one ground control points (GCP) to obtain absolute interferometric phase as the unwrapped phase is just a relative value. On the other hand, the baseline value used for DEM inversion also needs to be calibrated using GCPs due to the measure error. In practice, it is difficult to manually deploy GCPs especially in the area of steep topography. At present, with the improvement of orbital measure accuracy and system time accuracy for spaceborne SAR satellite, high precise absolute 3D location information of some stable point scatterers can be obtained by stereo SAR using data from different viewing angles. Therefore, this paper combines stereo SAR with InSAR. These point scatters are used as GCPs to calibrate baseline and estimate absolute phase. As a result, high accurate DEM generation without GCPs can be achieved. The experiment using TerraSAR-X data verifies the effectiveness of this method. © 2019 IEEE.

关键词： Synthetic aperture radar

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Unambiguous parameter estimation of radial velocity approach for airborne SAR-GMTI

Unambiguous parameter estimation of radial velocity approach...

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2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011

作者： Xu, Ruipeng Zhang, Dandan Huang, Lijia Hu, Donghui Ding, Chibiao Key Laboratory of Geo-spatial Information Processing and Application System Technology Institute of Electronics Chinese Academy of Sciences Beijing China

ISBN: (纸本)9788993246179

The ambiguous Doppler centroid causes incorrect estimation result of the radial velocity. For moving targets with fast radial velocity, an unambiguous estimation approach of the radial velocity is introduced for the airborne SAR system in this paper. First, two channels carried different wavelength can be constructed by range multilook processing (RMLP). Second, the instantaneous frequency curve of the moving target is obtained by polynomial fitting for each channel, where the linear term denotes the baseband Doppler centroid. Considering the fact that the difference of the estimated baseband Doppler centroid in two channels is equal to the difference of the absolute Doppler centroid, the unambiguous radial velocity can be estimated using it. Third, the range walk and the Doppler shift which are produced by the fast radial velocity can be eliminated by compensating a phase in the range-frequency and azimuth-time domain. As a result, the moving target will be reimaged and relocated after azimuth compression. The proposed approach will be applied to both single- and multi-channel SAR system. The simulation results validate the effectiveness of the proposed method. © 2011 KIEES.

关键词： Parameter estimation

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IMPROVED CALIBRATION METHOD FOR AIRBORNE ATI-SAR BASELINE

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Journal of Electronics(China) 2012年第5期29卷 368-374页

作者： Wang Xin Hong Jun Institute of Electronics Chinese Academy of Sciences Key Laboratory of Geo-spatial Information Processing and Application System Technology Graduate University of Chinese Academy of Sciences

Airborne Along-Track Interferometric Synthetic Aperture Radar (ATI-SAR) baseline error is a main error resource affecting the precision of velocity measurement of moving objects and therefore should be calibrated externally. The Jet Propulsion laboratory (JPL) has proposed a calibration scheme for tasks of PacRim98 and PacRim2000 based on several static objects on the ground. In this paper, the influence of phase center uncertainty on baseline determination by using PacRim method proposed by JPL is analyzed. According to the analysis, the phase center uncertainty can cause a constant part of error to the result of baseline calibration. In order to deal with this problem, an improved calibration method on the basis of sensitivity equations and some ground moving targets, whose velocities are already known, is proposed in this paper. The simulation results show that our proposed calibration method has improved the accuracy of baseline calibration and has obviously prohibited the effect of antennas' phase center uncertainty.

关键词： Airborne Along-Track Interferometric Synthetic Aperture Radar (ATI-SAR) Baseline error Baseline calibration Sensitivity equation

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Research on 3D Reconstruction of Transmission Linesnd Identification of Hidden Dangers of Tree Barriers Based on Airborne Lidar Point Cloud 6th

Research on 3D Reconstruction of Transmission Linesnd Identi...

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6th International Conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018

作者： Yang, Chuanxun Li, Yong Zhou, Xia Yang, Ji Zhang, Chen Liu, Hongkai Guangdong Open Laboratory of Geospatial Information Technology and Application Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangzhou Institute of Geography Guangzhou510070 China

ISBN: (纸本)9789811370243

The inspection procedure of Chinese high voltage power grid is mainly based on human inspection for many years. This is not only time-consuming and difficult, but the inspection results are also not objective and complete. Aiming at these problems, this paper gives a research method based on UAV-borne laser scanning. By taking the orthophotos of the power line corridor area and using the overlapping feature points of the image, the orientation elements of each photo are inversely calculated. According to the principle of aerial triangulation, the pixel matching algorithm is used to calculate the dense point cloud data of the survey area, and the power line point in the point cloud is selected to simulate the complete power line. By calculating the Euclidean distance between the power line and the power line protection area, the calculated result is compared with the power line safety specification to obtain information such as a tree barrier point or an early warning point. It can effectively identify many important defects such as wire-vegetation, wire-building, wire-crossing, etc., and greatly improve the quality and efficiency of the inspection process of existing high-voltage transmission lines. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Inspection

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MULTIPLE KERNEL RELEVANCE VECTOR MACHINE FOR geospatial OBJECTS DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES

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Journal of Electronics(China) 2012年第5期29卷 353-360页

作者： Li Xiangjuan Sun Xian Wang Hongqi Li Yu Sun Hao Institute of Electronics Chinese Academy of Sciences Key Laboratory of Technology in Geo-spatial Information Processing and Application System Graduate University Chinese Academy of Sciences

geospatial objects detection within complex environment is a challenging problem in remote sensing area. In this paper, we derive an extension of the Relevance Vector Machine (RVM) technique to multiple kernel version. The proposed method learns an optimal kernel combination and the associated classifier simultaneously. Two feature types are extracted from images, forming basis kernels. Then these basis kernels are weighted combined and resulted the composite kernel exploits interesting points and appearance information of objects simultaneously. Weights and the detection model are finally learnt by a new algorithm. Experimental results show that the proposed method improve detection accuracy to above 88%, yields good interpretation for the selected subset of features and appears sparser than traditional single-kernel RVMs.

关键词： Object detection Feature extraction Relevance Vector Machine (RVM) Support Vector Machine (SVM) Sliding-window

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Ocean Oil Spill Classification with Polarimetric SAR Based on VGG16 Multi-Feature Extraction

Ocean Oil Spill Classification with Polarimetric SAR Based o...

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2021 SAR in Big Data Era, BIGSARDATA 2021

作者： Ren, Huimin Li, Fangfang Han, Bing Hong, Wen Dong, Yingbo Wu, Bitong QiLu Research Institute Aerospace Information Research Institute Chinese Academy of Sciences Jinan China Aerospace Information Research Institute Chinese Academy of Sciences Key Laboratory of Technology in Geospatial Information Processing and Application System Beijing China

ISBN: (纸本)9781665401234

Fully polarimetric synthetic aperture radar (PolSAR) technology performs well in oil spill detection because of its rich target scattering information. Aiming at the problem that oil spill detection scheme based on polarization feature and deep learning has large sample requirements and high information redundancy, we propose a classification scheme combining with RBFSVM classifier and VGG16 based on transfer network. The ability of our method to distinguish different oil films is analyzed through a radarsat-2 POLSAR image of the North Sea oil spill experiment. © 2021 IEEE.

关键词： Oil spills

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A novel single-channel SAR-GMTI method based on defocusing shifted difference

A novel single-channel SAR-GMTI method based on defocusing s...

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2010 2nd International Conference on Signal processing systems, ICSPS 2010

作者： Ruipeng, Xu Xiaolan, Qiu Donghui, Hu Chibiao, Ding Key Laboratory of Spatial Information Processing and Application System Technology Beijing China Institute of Electronics Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424468911

A novel single channel SAR-GMTI method is proposed in this paper. When the azimuth mismatch filter performs compression, it induces shifted difference between the stationary and moving targets because of having different Doppler center. The proposed method employs this character to separate moving targets from stationary targets. It can produce two images by pulse compression which make use of two symmetrical mismatch filters in azimuth direction, and then cancel stationary and retain moving targets by subtracting one image from another. Compared with traditional methods, it is applicable to both low and high squint case and the detection capability is significantly improved. The simulation results validate the effectiveness of the proposed method. © 2010 IEEE.

关键词： Synthetic aperture radar

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A Differentiable Framework for Image-Based SAR Target Reconstruction with 3D Gaussian Splatting 2

A Differentiable Framework for Image-Based SAR Target Recons...

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2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Liu, Zinan Niu, Shengren Qiu, Xiaolan Peng, Lingxiao Zhong, Lihua Ding, Chibiao Chinese Academy of Sciences The National Key Laboratory of Microwave Imaging Technology Aerospace Information Research Institute Beijing China Chinese Academy of Sciences Suzhou Key Laboratory of Microwave Imaging Processing and Application Technology Aerospace Information Research Institute Suzhou China Chinese Academy of Sciences Key Laboratory of Technology in Geospatial Information Processing and Application Systems Aerospace Information Research Institute Beijing China

ISBN: (纸本)9798331515669

Image-based synthetic aperture radar (SAR) target three-dimensional (3D) reconstruction is an important application for extracting target information from high-resolution two-dimensional (2D) SAR images. However, due to the complex mechanism of SAR imaging, developing a data-driven, fully automated 3D reconstruction framework with explicit physical constraints is very difficult. Thus, this paper proposes a differentiable framework for image-based SAR target reconstruction with 3D Gaussian Splatting, which can automatically realize the 3D target reconstruction from multi-view SAR images. Specifically, the proposed differentiable framework accumulates and generates simulated SAR images according to the SAR imaging geometry and projection during the forward simulation stage. By calculating the loss between the simulated and ground truth SAR images and backpropagating, the spatial positions of the 3D Gaussians are continuously adjusted until convergence, generating the 3D point cloud model of the target. The experiment is conducted on the constructed T72 SAR image dataset and the reconstruction results demonstrate the effectiveness of the proposed framework. © 2024 IEEE.

关键词： 3D reconstruction

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