IEEE Geoscience and Remote Sensing Letters最新文献

{"title":"A Semantics-Geometry Framework for Road Extraction From Remote Sensing Images","authors":"Luyi Qiu, Dayu Yu, Chenxiao Zhang, Xiaofeng Zhang","doi":"10.1109/LGRS.2023.3268647","DOIUrl":"https://doi.org/10.1109/LGRS.2023.3268647","url":null,"abstract":"Road extraction from remote sensing (RS) images in very high resolution is important for autonomous driving and road planning. Compared with large-scale objects, roads are smaller, winding, and likely to be covered by buildings’ shadows, causing deep convolutional neural networks (DCNNs) to be difficult to identify roads. The letter proposes a semantics-geometry framework (SGNet) with a two-branch backbone, i.e., semantics-dominant branch and geometry-dominant branch. The semantics-dominant branch inputs images to predict dense semantic features, and the geometry-dominant branch takes images to generate sparse boundary features. Then, dense semantic features and boundary details generated by two branches are adaptively fused. Further, by utilizing affinity between neighborhood pixels, a feature refinement module (FRM) is proposed to refine textures and road details. We evaluate the SGNet on the Ottawa road dataset. Experiments show that the SGNet outperforms other competitors on the road extraction task. Codes is available at https://github.com/qiuluyi/SGNet.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"20 1","pages":"1-5"},"PeriodicalIF":4.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62503715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Geological Hazard Types and Distribution Pattern in Xindu District","authors":"","doi":"10.23977/geors.2023.060101","DOIUrl":"https://doi.org/10.23977/geors.2023.060101","url":null,"abstract":"In order to correctly understand the characteristics and distribution law of geological hazards in Xindu District, the types of geological hazards are analyzed according to the geological environmental conditions and the development characteristics of geological hazards. In this paper, four types of geological hazards, landslide, collapse, mudslide and ground collapse are analyzed and the characteristics and distribution rules of geological hazards are studied, and it is concluded that the density of geological hazards in the plain area and the middle mountainous area is small, and the distribution density of geological hazards in the low mountainous area is the largest. Human engineering activities are the main triggering factors for the formation of geological hazards, and rainfall is the aggravating factor for geological hazards.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solar Wind Influences on the Induced Magnetic Field of Mars: MAVEN Observations","authors":"","doi":"10.23977/geors.2023.060102","DOIUrl":"https://doi.org/10.23977/geors.2023.060102","url":null,"abstract":"Since ancient times, human beings have never stopped exploring outer space. As one of the eight planets, Mars has naturally become one of our key research objects. This paper mainly studies the characteristics and influencing factors of the Martian space environment. By using MAVEN's observation data for many years, we found that the intensity of the induced magnetic field is enhanced under the condition of high solar wind pressure, and this phenomenon is explained by the analysis method based on MHD equation.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135596311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deconvolutive Frequency Corrected Three-Parameter S-Transform and Its Application in Tight Sandstone Reservoir","authors":"Xuefeng Wu, Huixing Zhang, Bing-Shout He","doi":"10.1109/LGRS.2023.3277518","DOIUrl":"https://doi.org/10.1109/LGRS.2023.3277518","url":null,"abstract":"As an effective time–frequency (TF) analysis method, S-transform (ST) has an extensive application in signal processing. However, for broadband seismic signals, the peaks of the frequency distribution in the TF spectrum of ST biases the actual Fourier spectrum. Besides, the TF resolution of ST is affected by the relatively fixed window function and the Heisenberg uncertainty principle. In order to correct the frequency bias and improve the TF resolution of ST, and at the same time, to increase the flexibility of the window function, we propose a new TF analysis method, called the deconvolutive frequency corrected three-parameter ST (DFC-TPST). The DFC-TPST includes two steps: modifying the window function to achieve the frequency-corrected three-parameter ST (FC-TPST) and deconvoluting FC-TPST to achieve DFC-TPST. The synthetic example proves the superiority of the method in characterizing seismic signals. Through comparison of field data testing, we find that the proposed method can be well applied to hydrocarbon detection in tight sandstone reservoirs.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"20 1","pages":"1-5"},"PeriodicalIF":4.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62505127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OYOLO: An Optimized YOLO Method for Complex Objects in Remote Sensing Image Detection","authors":"Tianyi Xie, Wen Han, Sheng Xu","doi":"10.1109/lgrs.2023.3312168","DOIUrl":"https://doi.org/10.1109/lgrs.2023.3312168","url":null,"abstract":"","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"6 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62508894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maritime Radar Target Detection in Sea Clutter Based on CNN With Dual-Perspective Attention","authors":"Jingang Wang, Songbin Li","doi":"10.1109/LGRS.2022.3230443","DOIUrl":"https://doi.org/10.1109/LGRS.2022.3230443","url":null,"abstract":"Radar-based maritime target detection plays an important role in ocean monitoring. Considering the practical application, pulse-compression radar is widely used in terms of civilian offshore surface target detection. The existence of sea clutter will greatly interfere the detection performance of pulse-compression radar. This leads to the low detection performance of traditional algorithms like constant false alarm rate (CFAR). Deep learning methods have made strides in many fields recently, such as natural language processing and speech recognition. Inspired by this idea, we propose a maritime radar target detection method in sea clutter based on convolution neural network (CNN) and dual-perspective attention (DPA). The proposed method first encodes the radar echo in high-dimensional space and then extracts the correlation features from the global and local perspectives through the attention mechanism. We deployed the X-band pulse-compression radar on the coast of Hainan, China, and collected a lot of measured data. Experimental results demonstrate that the detection performance of our method outperforms the traditional CFAR methods and the latest deep learning-based methods. In the measured dataset, our proposed method can reach a detection probability of 93.59% under a false alarm rate (FAR) of $1e-3$ , reaching the practical application level.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"20 1","pages":"1-5"},"PeriodicalIF":4.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62499431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats.","authors":"Xintong Yao, Shanyue Sun, Yi Zi, Yaqing Liu, Jingcheng Yang, Luyao Ren, Guangchun Chen, Zehui Cao, Wanwan Hou, Yueqiang Song, Jun Shang, He Jiang, Zhihui Li, Haiyan Wang, Peipei Zhang, Leming Shi, Quan-Zhen Li, Ying Yu, Yuanting Zheng","doi":"10.1038/s41597-022-01285-7","DOIUrl":"10.1038/s41597-022-01285-7","url":null,"abstract":"<p><p>Rat is one of the most widely-used models in chemical safety evaluation and biomedical research. However, the knowledge about its microRNA (miRNA) expression patterns across multiple organs and various developmental stages is still limited. Here, we constructed a comprehensive rat miRNA expression BodyMap using a diverse collection of 320 RNA samples from 11 organs of both sexes of juvenile, adolescent, adult and aged Fischer 344 rats with four biological replicates per group. Following the Illumina TruSeq Small RNA protocol, an average of 5.1 million 50 bp single-end reads was generated per sample, yielding a total of 1.6 billion reads. The quality of the resulting miRNA-seq data was deemed to be high from raw sequences, mapped sequences, and biological reproducibility. Importantly, aliquots of the same RNA samples have previously been used to construct the mRNA BodyMap. The currently presented miRNA-seq dataset along with the existing mRNA-seq dataset from the same RNA samples provides a unique resource for studying the expression characteristics of existing and novel miRNAs, and for integrative analysis of miRNA-mRNA interactions, thereby facilitating better utilization of rats for biomarker discovery.</p>","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"17 1","pages":"201"},"PeriodicalIF":5.8,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"57531317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frequently used therapeutic antimicrobials and their resistance patterns on <i>Staphylococcus aureus</i> and <i>Escherichia coli</i> in mastitis affected lactating cows.","authors":"Eaftekhar Ahmed Rana, Md Abul Fazal, Mohammad Abdul Alim","doi":"10.1080/23144599.2022.2038494","DOIUrl":"10.1080/23144599.2022.2038494","url":null,"abstract":"<p><p>Mastitis is one of the most frequent and costly production diseases of dairy cattle. It is frequently treated with broad-spectrum antimicrobials. The objectives of this work were to investigate the prevalence of <i>Staphylococcus aureus</i> and <i>Escherichia coli</i>, find out the antimicrobials used in mastitis treatment, and explore the antimicrobial resistance profile including detection of resistance genes. Bacterial species and antimicrobial resistance genes were confirmed by the polymerase-chain reaction. A total of 450 cows were screened, where 23 (5.11%) and 173 (38.44%) were affected with clinical and sub-clinical mastitis, respectively. The prevalence of <i>S. aureus</i> was 39.13% (n = 9) and 47.97%(n = 83) while, <i>E. coli</i> was 30.43% (n = 7) and 15.60% (n = 27) in clinical and sub-clinical mastitis affected cows, respectively. The highest antimicrobials used for mastitis treatment were ciprofloxacin (83.34%), amoxycillin (80%) and ceftriaxone (76.67%). More than, 70% of <i>S. aureus</i> showed resistance against ampicillin, oxacillin, and tetracycline and more than 60% of <i>E. coli</i> exhibited resistance against oxacillin and sulfamethoxazole-trimethoprim. Selected antimicrobial resistance genes (<i>mec</i>A, <i>tet</i>K, <i>tet</i>L, <i>tet</i>M, <i>tet</i>A, <i>tet</i>B, <i>tet</i>C, <i>sul</i>1, <i>sul</i>2 and <i>sul</i>3) were identified from <i>S. aureus</i> and <i>E. coli</i>. Surprisingly, 7 (7.61%) <i>S. aureus</i> carried the <i>mec</i>A gene and were confirmed as methicillin-resistant <i>S. aureus</i> (MRSA). The most prevalent resistance genes were <i>tet</i>K 18 (19.57%) and <i>tet</i>L 13 (14.13%) for <i>S. aureus</i>, whereas <i>sul</i>1 16 (47.06%), <i>tet</i>A 12 (35.29%), <i>sul</i>2 11 (32.35%) and <i>tet</i>B 7 (20.59%) were the most common resistance genes in <i>E. coli</i>. Indiscriminate use of antimicrobials and the presence of multidrug-resistant bacteria suggest a potential threat to public health.</p>","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"18 1","pages":"1-10"},"PeriodicalIF":2.8,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78428113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ground-Based Remote Sensing of Total Columnar CO2, CH4, and CO Using EM27/SUN FTIR Spectrometer at a Suburban Location (Shadnagar) in India and Validation of Sentinel-5P/TROPOMI","authors":"Vijay Kumar Sagar, Mahesh Pathakoti, Mahalakshmi D.V., Rajan K.S., S. M.V.R., F. Hase, D. Dubravica, M. Sha","doi":"10.36227/techrxiv.19137242.v1","DOIUrl":"https://doi.org/10.36227/techrxiv.19137242.v1","url":null,"abstract":"Greenhouse gases (GHGs) play an important role in controlling local air pollution as well as climate change. In this study, we retrieved column-averaged dry-air (<inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>) mole fractions of carbon dioxide (CO₂), methane (CH₄), and carbon monoxide (CO) using a ground-based EM27/SUN Fourier transform infrared spectrometer (FTIR). The EM27/SUN spectrometers are widely in use in the COllaborative Carbon Column Observing Network (COCCON). The PROFFAST software provided by COCCON has been used to analyze the measured atmospheric solar absorption spectra. In this letter, the diurnal variation and the time series of daily averaged <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CO₂, <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CH₄, and <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CO covering the period from December 2020 to May 2021 are analyzed. The maximum values of <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CO₂, <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CH₄, and <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CO are observed to be 420.57 ppm, 1.93 ppm, and 170.40 ppb, respectively. Less diurnal but clear seasonal changes are observed during the study period. <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CH₄ and <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CO from the Sentinel-5Precursor (S5P)/TROPOspheric Monitoring Instrument (TROPOMI) are compared against the EM27/SUN retrievals. The correlation coefficient for the EM27/SUN retrieved <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CH₄ and <inline-formula> <tex-math notation=\"LaTeX\">$X$ </tex-math></inline-formula>CO, with the S5P/TROPOMI products, are 0.75 and 0.94, respectively.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":" ","pages":"1-5"},"PeriodicalIF":4.8,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44352659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SAR Coregistration by Robust Selection of Extended Targets and Iterative Outlier Cancellation","authors":"L. Pallotta, G. Giunta, C. Clemente, J. Soraghan","doi":"10.1109/lgrs.2021.3132661","DOIUrl":"https://doi.org/10.1109/lgrs.2021.3132661","url":null,"abstract":"This letter extends the constrained least-squares (CLS) optimization method developed to coregister multitemporal synthetic aperture radar (SAR) images affected by a joint rotation effect and range/azimuth shifts enforcing the absence of zooming effects. To take advantage of the structural information extracted from the scene, the method starts with a detection stage that identifies extended targets/areas in the images. The selected tie-points allow the CLS problem to be reformulated to find its (initial) solution based on a robust subset of image blocks. Then, the mean square error (MSE) of each equation evaluated from the initial solution allows to implement an iterative cancellation procedure to further skim the CLS equation set. The effectiveness of the proposed procedure is validated on real SAR data in comparison with the standard CLS.","PeriodicalId":13046,"journal":{"name":"IEEE Geoscience and Remote Sensing Letters","volume":"19 1","pages":"1-5"},"PeriodicalIF":4.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62484488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}