Remote Sensing of Target Object Detection and Identification II
The articles belonging to this Special Issue provide a comprehensive overview of the advancements, challenges, and future trends in object detection and tracking, with a particular emphasis on remote sensing applications. They discuss a wide range of topics, including different types of targets (e.g...
保存先:
| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| 主題: | |
| オンライン･アクセス: | ONIX_20250220_9783725821198_122 |
| タグ: |
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| _version_ | 1869525977330089984 |
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| collection | Directory of Open Access Books |
| description | The articles belonging to this Special Issue provide a comprehensive overview of the advancements, challenges, and future trends in object detection and tracking, with a particular emphasis on remote sensing applications. They discuss a wide range of topics, including different types of targets (e.g., ships, small targets), imaging modalities (e.g., optical, SAR, infrared), image processing techniques, and deep learning algorithms. In the first group of articles, different aspects of ship detection in remote sensing images, including challenges, advancements, and datasets, are discussed. These sources specifically focus on ship detection in SAR images, which poses unique challenges due to the presence of speckle noise and the need for robust algorithms that can handle different ship sizes and orientations. The second group addresses the problem of detecting small targets in infrared images, which is a complex task due to the small size of the targets, low contrast with the background, and the presence of noise and clutter. The third group focuses on target tracking in image sequences, which involves estimating the trajectory of a target over time. |
| format | Online |
| id | doab-20.500.12854ir-152758 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1527582025-02-20T13:01:25Z Remote Sensing of Target Object Detection and Identification II Tripicchio, Paolo space target heterogeneous multi-core system detection and tracking MJDTM FPGA DSP star background suppression recursive moving target indication dim space target detection optical remote sensing small-ship detection lightweight detection convolutional neural network infrared small target detection proximal gradient approximate partial SVD GPU acceleration principle component pursuit group low-rank regularization infrared patch-image model anomaly detection multi-dimensional low-rank active sonar low signal-to-reverberation ratio underwater target tracking by detection kernel correlation filter multiscale features infrared image small-target detection ship detection reppoints adaptive sample selection guided learning synthetic aperture radar (SAR) scattering point deep learning optical remote-sensing images transformer event cameras multi-scale fusion remote sensing small target detection corner reflector array combat dilution jamming change the frequency modulation slope mismatched filter support vector machine content loss Recurrent Rain-Attentive Module single-image deraining squeeze-and-excitation n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography The articles belonging to this Special Issue provide a comprehensive overview of the advancements, challenges, and future trends in object detection and tracking, with a particular emphasis on remote sensing applications. They discuss a wide range of topics, including different types of targets (e.g., ships, small targets), imaging modalities (e.g., optical, SAR, infrared), image processing techniques, and deep learning algorithms. In the first group of articles, different aspects of ship detection in remote sensing images, including challenges, advancements, and datasets, are discussed. These sources specifically focus on ship detection in SAR images, which poses unique challenges due to the presence of speckle noise and the need for robust algorithms that can handle different ship sizes and orientations. The second group addresses the problem of detecting small targets in infrared images, which is a complex task due to the small size of the targets, low contrast with the background, and the presence of noise and clutter. The third group focuses on target tracking in image sequences, which involves estimating the trajectory of a target over time. 2025-02-20T13:01:23Z 2025-02-20T13:01:23Z 2024 book ONIX_20250220_9783725821198_122 9783725821198 9783725821204 https://directory.doabooks.org/handle/20.500.12854/152758 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9888 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2120-4 10.3390/books978-3-7258-2120-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725821198 9783725821204 320 Basel open access |
| spellingShingle | space target heterogeneous multi-core system detection and tracking MJDTM FPGA DSP star background suppression recursive moving target indication dim space target detection optical remote sensing small-ship detection lightweight detection convolutional neural network infrared small target detection proximal gradient approximate partial SVD GPU acceleration principle component pursuit group low-rank regularization infrared patch-image model anomaly detection multi-dimensional low-rank active sonar low signal-to-reverberation ratio underwater target tracking by detection kernel correlation filter multiscale features infrared image small-target detection ship detection reppoints adaptive sample selection guided learning synthetic aperture radar (SAR) scattering point deep learning optical remote-sensing images transformer event cameras multi-scale fusion remote sensing small target detection corner reflector array combat dilution jamming change the frequency modulation slope mismatched filter support vector machine content loss Recurrent Rain-Attentive Module single-image deraining squeeze-and-excitation n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Remote Sensing of Target Object Detection and Identification II |
| title | Remote Sensing of Target Object Detection and Identification II |
| title_full | Remote Sensing of Target Object Detection and Identification II |
| title_fullStr | Remote Sensing of Target Object Detection and Identification II |
| title_full_unstemmed | Remote Sensing of Target Object Detection and Identification II |
| title_short | Remote Sensing of Target Object Detection and Identification II |
| title_sort | remote sensing of target object detection and identification ii |
| topic | space target heterogeneous multi-core system detection and tracking MJDTM FPGA DSP star background suppression recursive moving target indication dim space target detection optical remote sensing small-ship detection lightweight detection convolutional neural network infrared small target detection proximal gradient approximate partial SVD GPU acceleration principle component pursuit group low-rank regularization infrared patch-image model anomaly detection multi-dimensional low-rank active sonar low signal-to-reverberation ratio underwater target tracking by detection kernel correlation filter multiscale features infrared image small-target detection ship detection reppoints adaptive sample selection guided learning synthetic aperture radar (SAR) scattering point deep learning optical remote-sensing images transformer event cameras multi-scale fusion remote sensing small target detection corner reflector array combat dilution jamming change the frequency modulation slope mismatched filter support vector machine content loss Recurrent Rain-Attentive Module single-image deraining squeeze-and-excitation n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| topic_facet | space target heterogeneous multi-core system detection and tracking MJDTM FPGA DSP star background suppression recursive moving target indication dim space target detection optical remote sensing small-ship detection lightweight detection convolutional neural network infrared small target detection proximal gradient approximate partial SVD GPU acceleration principle component pursuit group low-rank regularization infrared patch-image model anomaly detection multi-dimensional low-rank active sonar low signal-to-reverberation ratio underwater target tracking by detection kernel correlation filter multiscale features infrared image small-target detection ship detection reppoints adaptive sample selection guided learning synthetic aperture radar (SAR) scattering point deep learning optical remote-sensing images transformer event cameras multi-scale fusion remote sensing small target detection corner reflector array combat dilution jamming change the frequency modulation slope mismatched filter support vector machine content loss Recurrent Rain-Attentive Module single-image deraining squeeze-and-excitation n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| url | ONIX_20250220_9783725821198_122 |