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Remote sensing letters
Taylor & Francis Group
Remote sensing letters

Taylor & Francis Group

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2150-704X

Remote sensing letters/Journal Remote sensing lettersEISCIAHCI
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    Red tide identification in coastal regions based on the logical operation of multi-band spectral indices

    Ming XieYing LiZhichen LiuTao Gou...
    1-12页
    查看更多>>摘要：ABSTRACT Optical remote sensing is an applicable approach for red tide monitoring in wide observation range. This study proposed a red tide identification method using the logical operation of multi-band spectral indices (MBSIs). Five candidate MBSIs from two categories that could potentially indicate red tide outbreaks are selected and integrated into different combinations. The reflectance spectra of red tide measured in the Xinghai Bay, China, are used to determine the optimal combination of MBSIs through the self-organized map network. According to the result, the combination of fluorescence baseline height and the spectral difference indices at red and near-infrared bands achieves the highest accuracy at 0.95 among all the combinations of MBSIs. Therefore, the logical operation of these three MBSIs is applied to Sentinel-2 satellite images to identify red tide in coastal regions. It is found that the logic operation method of MBSIs can work robustly in different sea areas and provides more reasonable results than using any single MBSI. The proposed method is able to detect the red tide that are often undetectable by human eyes with low computational complexity, and can be applied to the rapid detection and daily surveillance on the spatial distribution of red tide outbreaks.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    Remote sensing of ship polarization information through sea fog based on retinal visual information processing mechanisms

    Qilong JiaZhenduo Zhang
    13-23页
    查看更多>>摘要：ABSTRACT It is challenging to observe the polarization information of ships in sea fog weather due to the depolarization phenomenon. Depolarization refers to the phenomenon that the polarization information of incident light is distorted after passing through the scattering medium such as sea fog, which poses a great challenge to polarization remote sensing of ships. Therefore, ship polarization information remote sensing through sea fog is equivalent to recovering the original polarization information of ships. In this paper, a new method is proposed for recovering the original polarization information of ships in sea fog environment. The method is inspired by the visual information processing mechanisms of the retina. In addition, a new type of visual receptive field, called deformable receptive field, is proposed to improve the performance of the polarization information restoration method. The proposed method does not depend on the hazy image formation model, the depth-dependent transmission, and the training on hazy and fog-free image pairs. As a by-product, fog-free images can be recovered using the proposed method. The effectiveness of the proposed method has been verified by an experiment on ship polarization information remote sensing in sea fog weather.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    An improved ionospheric scintillation correction method for spaceborne P-band polarimetric SAR

    Zhuo LiHuguang Yao
    24-34页
    查看更多>>摘要：ABSTRACT Spaceborne P-band synthetic aperture radar (SAR) will suffer from ionospheric scintillation, which introduces a random phase into the azimuth signal and leads to image defocusing. For full-polarimetric SAR, it can be corrected by deriving the scintillation phase from Faraday rotation (FR) estimation. When estimating the FR angle, how to preserve changes in scintillation phase while smoothing noise is a key issue. The current method uses a rectangle averaging window. An improved correction method is proposed. Based on the correlation of scintillation phase, a new averaging window for noise suppression is designed to reduce scintillation estimation error. The method does not need any prior information of scintillation. The effectiveness of the proposed method is tested by simulations based on PALSAR2 data. For a non-homogeneous scene, when turbulence strength C k L = 1034 and C k L = 1035, the proposed method has obvious improvement compared with the current method.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    Velocity analysis of moving objects in earth observation satellite images using multi-spectral push broom scanning

    Eric KetoWesley Andrés Watters
    35-46页
    查看更多>>摘要：ABSTRACT In this study, we present a method for detecting and analysing the velocities of moving objects in Earth observation satellite images, specifically using data from Planet Labs’ push broom scanning satellites. By exploiting the sequential acquisition of multi-spectral images, we estimate the relative differences in acquisition times between spectral bands. This allows us to determine the velocities of moving objects, such as aircraft, even without precise timestamp information from the image archive. We validate our method by comparing the velocities of aircraft observed in satellite images with those reported by onboard ADS-B transponders and find an accuracy of $ \sim 4$∼4 %. The results demonstrate the potential, despite challenges posed by the limitations of proprietary data, of a new application of commercial satellite data originally intended as an ongoing, once-daily survey of single images covering the entire land-area of the Earth. Our approach extends the applicability of satellite survey imagery for dynamic object tracking and contributes to the broader use of commercial satellite data in scientific research.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    Evaluation of January-to-April-2016 strong El Niño event impacts on the land surface radiation absorption along the west coast of Peru

    Zile CaoWentao Duan
    47-54页
    查看更多>>摘要：ABSTRACT Clarifying the El Niño impacts on regional land surface radiation absorption (SRA) could deepen our understanding of El Niño’s climate change driving mechanisms. In this study, impacts from the January-to-April-2016 strong El Niño event on SRA along the west coast of Peru are evaluated based on the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) dataset, which could provide longer-term, more consistent and higher temporal sampling rate observations, to complement current low-orbit-satellite-based research. Results show that the strong El Niño events lasting from January to April in 2016 would substantially reduce the SRA in the low-latitude region (latitudes ranges from 3° S to 7° S) of Peru by decreasing the regional atmospheric transmittance. It is also found that such negative El Niño impacts on SRA become weaker at higher-latitude regions in Peru.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    Subaperture decomposition analysis for accurate ship detection and velocity estimation in synthetic aperture radar imagery

    Muhammad Amjad IqbalAndrei AnghelMihai Datcu
    55-65页
    查看更多>>摘要：ABSTRACT A spaceborne synthetic aperture radar (SAR) systematically scans the target scene along its trajectory at various positions and azimuth angles, making it a unique asset for many remote sensing applications. The contrast between ship targets and the surrounding sea can be improved in SAR images by splitting the bandwidth into subapertures (SAs) and then averaging to attain a high azimuth resolution. This letter proposes the use of subapertures decomposition (SD) for detecting moving ships. Furthermore, the ship velocity parameter in the azimuth direction is computed. The proposed SAs dual-pol descriptor ( ${r_{{\rm{SA}}}}$rSA ) employed the constant false alarm rate (CFAR) approach followed by a statistical Gamma ( $\Gamma $Γ ) distribution to determine the threshold value for distinguishing ship and sea. Thereafter, the ships edges are quantified using Sobel and Canny edge detectors. The eigenvalue descriptor ( $\lambda $λ ) of polarimetric SAR provides the total size of the target; hence, the ship sizes are compared with $\lambda $λ . The velocity of moving ships ( ${V_{\rm{S}}}$VS ) is evaluated by utilizing the mean difference of the Doppler centroid ( $\Delta {f_{{\rm{DC}}}}$ΔfDC ) information between pairs of all SAs and is validated using the SA displacement correlation method. The experimental results demonstrate that the proposed method is feasible for real-time moving ship monitoring with 95% accuracy.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    Robust principal component analysis combined with top-hat transform for clutter suppression in GPR images

    Fang YeRui ZhangZiran Liu
    66-76页
    查看更多>>摘要：ABSTRACT As a contactless and non-invasive tool, ground penetrating radar (GPR) plays an important role in buried object detection. However, the performance of GPR images is deteriorated severely due to the clutter in radar echo signals, including echoes reflected from ground-air surface and other undesired signals. Low-rank sparse decomposition (LRSD) has been proved to be an effective tool to separate clutter and targets as low-rank and sparse components respectively. However, the properties of targets in images cannot be fully represented by sparsity. To combine LRSD with characters of target images, a robust principal component analysis combined with top-hat transform (RPCA-THT) is proposed. RPCA-THT optimizes the step of shrinking the sparse component in robust principal component analysis (RPCA). It performs a top-hat transform on the sparse component with a specially designed kernel matrix. Then the sparse component shrinks according to the normalized top-hat transform of the sparse matrix. In this way, targets prefer to be left in the sparse component than clutter. We design a well-performed kernel for distinguishing targets in the sparse matrix. The experimental results on simulation and real data show that the proposed method has better performance than several state-of-the-art clutter suppression algorithms.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    A self-supervised building extraction method based on multi-modal remote sensing data

    Yunhao QuChang Wang
    77-88页
    查看更多>>摘要：ABSTRACT This paper addresses challenges in building extraction from remote sensing imagery, including ambiguous edge definition, limited shadow recognition, and heavy reliance on annotated data. To overcome these issues, we propose a self-supervised building extraction method that integrates LiDAR height information with hyperspectral imagery. First, a random forest model selects optimal hyperspectral bands that emphasize building features, reducing dimensionality for efficient processing. Next, we refine the self-supervised learning model Nearest Neighbour based Contrastive Learning Network (NNCNet) into an enhanced version (INNCNet), which performs well in building extraction tasks while minimizing dependence on annotated samples. A connected domain filtering technique is also introduced in the post-processing stage to eliminate misclassifications and noise, improving segmentation accuracy. Evaluation on the Houston2018 dataset demonstrates that the proposed method achieves high accuracy without annotated data, offering a promising approach for large-scale, unsupervised building extraction in remote sensing applications.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    Ship target detection method based on improved YOLOv8 for SAR images

    Xue LiZhichao YouHengkai GaoHaorong Deng...
    89-99页
    查看更多>>摘要：ABSTRACT Due to the complex background and less effective information in low-resolution and noisy images, the detection of small ships in SAR images suffers from low detection rate and high false alarm rate. In order to solve the above problems, this paper proposes a method to detect the small ship targets in SAR images based on improved YOLOv8. Firstly, the deformable convolutional networks are added to the leading network to improve feature extraction. Then, the efficient multi-scale attention module is fused with the backbone network to enhance the detection effect of small targets. The weighted intersection over union loss function is used to optimize the regression process of the prediction frame and the detection frame to enhance the localization capacity of small targets. Finally, there is an addition of a specialized small target detection layer, and a reconstruction of the feature extraction and fusion network to enhance the detection performance of small ship targets in SAR images. To verify the effectiveness and robustness of the method, we conduct experiments on SSDD and HRSID. The proposed method achieves high detection accuracy while also offering a more compact model size and less computation time compared to other prevalent methods.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis

    A moving-target imaging method for azimuth multi-channel HRWS SAR system based on spectrum energy distribution

    Yueli SunXingbo PanLin WuNing Li...
    100-107页
    查看更多>>摘要：ABSTRACT Azimuth multi-channel (AMC) synthetic aperture radar (SAR) systems can achieve high-resolution and wide-swath (HRWS) imaging, widely used in marine monitoring. However, for the moving ship targets irradiated by the AMC HRWS SAR system, false targets and defocus will appear in HRWS images caused by their motion. The existing methods behave poorly in case of low signal-to-noise ratio and channel non-uniformity. To improve the quality of HRWS images, the letter proposes a moving ship target imaging method based on spectrum energy distribution. Firstly, radial velocity of ship target is estimated by energy distribution factor parameter constructed by spectrum energy distribution. Secondly, the azimuth velocity is calculated by the phase difference between adjacent channels. Meanwhile, the importance of channel phase error on imaging is demonstrated. Finally, echo compensation and imaging method are performed to get a clear and focused image. Simulation experiments on point targets and area targets verify the effectivity of the proposed method. The proposed method can effectively suppress the false ship target, whose maximum energy is reduced from about −20 dB to below −40 dB, providing clearer images for the various application of different users.
      原文链接:
    • NETL
    • NSTL
    • Taylor & Francis