Registration of multitemporal low-resolution synthetic aperture radar images based on a new similarity measure

Ren, Weilong; Song, Jianshe; Zhang, Xiongmei; Cai, Xingjuan

doi:10.1117/1.jrs.10.015001

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Measuring the spectral properties between two different vectors using these SB indices is incorporated into many applications, especially in remote sensing. Examples include image classification (Hosseini, Homayouni, & Safari, 2012;Padma & Sanjeevi, 2014), image registration (Ren, Song, Zhang, & Cai, 2016), target detection (Chang, 2003;J. Zhang, Cao, Zhuo, Wang, & Zhou, 2015), dimensional reduction (Q.…”

Section: Similarity-based (Sb)mentioning

confidence: 99%

A new land-cover match-based change detection for hyperspectral imagery

Seydi

Hasanlou

2017

European Journal of Remote Sensing

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The presence of phenomena such as earthquakes, floods and artificial human activities causes changes on the Earth's surface. Change detection (CD) is an essential tool for the monitoring and managing of resources on local and global scales. Hyperspectral imagery can provide more detailed results for detecting changes in land-cover types. The main objective of this paper is to present a new, supervised CD method by combining similarity-based and distance-based methods to increase the efficiency of already existing CD approaches. The proposed method applies in two phases and uses three different algorithms, including image differencing, modified Z-score analysis and spectral angle mapper. The efficiency of the presented method is evaluated using Hyperion multi-temporal hyperspectral imagery. The receiver-operating characteristic curve index is used for assessing and comparing the results. The results clearly demonstrate the superiority of the proposed method for the detection and production of more accurate change maps. Furthermore, the proposed method is also able to detect changes with an accuracy of more than 96%, a false alarm rate lower than 0.03 and an area under the curve of about 0.986 in overall comparison to other conventional CD techniques. In addition, this method achieved an optimal threshold value with more rapid convergence.

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Section: Similarity-based (Sb)mentioning

confidence: 99%

A new land-cover match-based change detection for hyperspectral imagery

Seydi

Hasanlou

2017

European Journal of Remote Sensing

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“…Due to complex geometric deformations and low texture in SAR images, the area-based methods are time consuming and often produce local extrema when estimating the correspondence among the registered images. Compared with the area-based methods, the feature-based methods are computationally efficient and recommended for the SAR image registration, since many distinctive features can usually be obtained from SAR images 2 – 4 …”

Section: Introductionmentioning

confidence: 99%

Speckle-reducing scale-invariant feature transform match for synthetic aperture radar image registration

Wang

2016

J. Appl. Remote Sens

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.The anisotropic scale space (ASS) is often used to enhance the performance of a scale-invariant feature transform (SIFT) algorithm in the registration of synthetic aperture radar (SAR) images. The existing ASS-based methods usually suffer from unstable keypoints and false matches, since the anisotropic diffusion filtering has limitations in reducing the speckle noise from SAR images while building the ASS image representation. We proposed a speckle reducing SIFT match method to obtain stable keypoints and acquire precise matches for the SAR image registration. First, the keypoints are detected in a speckle reducing anisotropic scale space constructed by the speckle reducing anisotropic diffusion, so that speckle noise is greatly reduced and prominent structures of the images are preserved, consequently the stable keypoints can be derived. Next, the probabilistic relaxation labeling approach is employed to establish the matches of the keypoints then the correct match rate of the keypoints is significantly increased. Experiments conducted on simulated speckled images and real SAR images demonstrate the effectiveness of the proposed method.

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“…Compared with the area-based methods, the feature-based methods are computationally efficient and recommended for the SAR image registration, since many distinctive features can usually be obtained from SAR images. [2][3][4] The feature-based methods consist of three steps: feature detection, feature description, and feature matching. 5 In the feature detection step, the multiscale space of an image is required to be constructed via filtering the original image with an appropriate function over increasing scale or time.…”

Section: Introductionmentioning

confidence: 99%

Study of Tidal Lanes on Traffic Controlling - Taking Zizhuyuan Road of Haidian District in Beijing as an Example

Wang

Zhao

Wang

2014

AMM

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Based on the analysis of setting principles of tidal lane, this paper describes the traffic and technical feasibility on setting tidal lane aat Xizhimen Outer Street between Chedaogou Bridge and Sijiqing Bridge, and then put forward a package on setting of tidal lane and control approaches of segment and endpoint. Through an analysis of the package, we expect to relieving road network pressure from tidal traffic and achieving the purpose of easing traffic congestion.

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Registration of multitemporal low-resolution synthetic aperture radar images based on a new similarity measure

Cited by 7 publications

References 20 publications

A new land-cover match-based change detection for hyperspectral imagery

A new land-cover match-based change detection for hyperspectral imagery

Speckle-reducing scale-invariant feature transform match for synthetic aperture radar image registration

Study of Tidal Lanes on Traffic Controlling - Taking Zizhuyuan Road of Haidian District in Beijing as an Example

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