Structure tensor‐based SIFT algorithm for SAR image registration

Divya, S.; Paul, Sourabh; Pati, Umesh Chandra

doi:10.1049/iet-ipr.2019.0568

Cited by 12 publications

(3 citation statements)

References 29 publications

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“…To get the best transmit power for each user pair on each subchannel, we apply the CF technique presented in previous works. 7,49,57–69 Due to space constraints, some of the derivations are removed here, and the results are presented directly. In Paul and Pati, 69 issue (5) may be reduced into the following rate maximization problem with two wireless users on each subchannel by introducing the power budget pm on each subchannel:…”

Section: Two User Pairing Strategies In Nomamentioning

confidence: 99%

Analysis of user pairing non-orthogonal multiple access network using deep Q-network algorithm for defense applications

Ravi¹,

Kulkarni

Ray

et al. 2022

Journal of Defense Modeling & Simulation

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Non-orthogonal multiple access (NOMA) networks play an important role in defense communication scenarios. Deep learning (DL)-based solutions are being considered as viable ways to solve the issues in fifth-generation (5G) and beyond 5G (B5G) wireless networks, since they can provide a more realistic solution in the real-world wireless environment. In this work, we consider the deep Q-Network (DQN) algorithm-based user pairing downlink (D/L) NOMA network. We have applied the convex optimization (CO) technique and optimized the sum rate of all the wireless users. First, the near-far (N-F) pairing and near-near and far-far (N-N and F-F) pairing strategies are investigated for the multiple numbers of users, and a closed-form (CF) expression of the achievable rate is derived. After that, the optimal power allocation (OPA) factors are derived using the CO technique. Through simulations, it has been demonstrated that the DQN algorithms perform much better than the deep reinforcement learning (DRL) and conventional orthogonal frequency-division multiple access (OFDMA) schemes. The sum-rate performance significantly increases with OPA factors. The simulation results are in close agreement with the analytical results.

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Section: Two User Pairing Strategies In Nomamentioning

confidence: 99%

Analysis of user pairing non-orthogonal multiple access network using deep Q-network algorithm for defense applications

Ravi¹,

Kulkarni

Ray

et al. 2022

Journal of Defense Modeling & Simulation

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“…Paul et al [ 46 ] proposed the I-SAR-SIFT algorithm based on SAR-SIFT and UR-SIFT [ 39 ], which greatly improves the influence of speckle noise on the features and the matching performance of the algorithm based on the local-matching strategy based on Delaunay triangulation. According to Divya et al [ 50 ], different images have different geometry and intensity changes based on the structure tensor of the SIFT algorithm (ST-SIFT, the algorithm using the structure tensor filter image), and even after many iterations of filtering, it can still better retain the image edge details and corner information. Multifeature extraction is performed using SAR-SIFT (for corner features) and R-SIFT (for texture features) to obtain more feature points in [ 51 ].…”

Section: Introductionmentioning

confidence: 99%

Two-Step Matching Approach to Obtain More Control Points for SIFT-like Very-High-Resolution SAR Image Registration

Deng

2023

Sensors

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Airborne VHR SAR image registration is a challenging task. The number of CPs is a key factor for complex CP-based image registration. This paper presents a two-step matching approach to obtain more CPs for VHR SAR image registration. In the past decade, SIFT and other modifications have been widely used for remote sensing image registration. By incorporating feature point location affine transformation, a two-step matching scheme, which includes global and local matching, is proposed to allow for the determination of a much larger number of CPs. The proposed approach was validated by 0.5 m resolution C-band airborne SAR data acquired in Sichuan after the 2008 Wenchuan earthquake via a SAR system designed by the IECAS. With the proposed matching scheme, even the original SIFT, which is widely known to be unsuitable for SAR images, can achieve a much larger number of high-quality CPs than the one-step SIFT–OCT, which is tailored for SAR images. Compared with the classic one-step matching approach using both the SIFT and SITF–OCT algorithms, the proposed approach can obtain a larger number of CPs with improved precision.

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“…optical, light detection and ranging, and synthetic aperture radar (SAR)] is a challenging task due to the significant non-linear radiometric differences between various data. The majority of existing methods originate from the scale-invariant feature transform (SIFT) algorithm, and they typically adopt SIFT-like methods for feature point extraction [1][2][3][4]. Nevertheless, registration feature extraction of multisource images still stands as a critical and challenging issue.…”

mentioning

confidence: 99%

Analysis of feasibility and advantages of multi‐source image registration using regional features

Zeng

Zhu

et al. 2021

Electronics Letters

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Automatic registration of multi-source remote sensing data is a challenging task due to the high non-linearity of radiometric differences among various data. Feature extraction is a key enabling technique in registration algorithm design. In this letter, we prove the feasibility of using extracted regional features for multi-source image registration. In particular, regional features can be extracted through pixel-level image classification, and existing off-the-shelf algorithms can be directly adopted. Experiment results demonstrate the robustness of the regionalfeature-based registration method.

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Structure tensor‐based SIFT algorithm for SAR image registration

Cited by 12 publications

References 29 publications

Analysis of user pairing non-orthogonal multiple access network using deep Q-network algorithm for defense applications

Analysis of user pairing non-orthogonal multiple access network using deep Q-network algorithm for defense applications

Two-Step Matching Approach to Obtain More Control Points for SIFT-like Very-High-Resolution SAR Image Registration

Analysis of feasibility and advantages of multi‐source image registration using regional features

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