Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II
The purpose of this reprint is to provide readers with a comprehensive understanding of the latest advancements and technical approaches in the fields of remote sensing target detection and object detection. Remote sensing target detection focuses on identifying and locating specific targets of inte...
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| Médium: | Online |
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| Jazyk: | angličtina |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| On-line přístup: | ONIX_20250812T110751_9783725836055_94 |
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| _version_ | 1869527164693512192 |
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| collection | Directory of Open Access Books |
| description | The purpose of this reprint is to provide readers with a comprehensive understanding of the latest advancements and technical approaches in the fields of remote sensing target detection and object detection. Remote sensing target detection focuses on identifying and locating specific targets of interest within remote sensing images, serving as a cornerstone for applications such as resource exploration, environmental monitoring, and national security. Recent years have witnessed significant progress in artificial intelligence (AI), which has been widely applied to tasks such as regression, clustering, and classification. While AI-driven methods exhibit remarkable capabilities in processing the vast volumes of data generated by remote sensing, they heavily rely on abundant high-quality labeled samples, posing challenges in the context of remote sensing big data. Consequently, their performance is often constrained by the scarcity of labeled data and the complexity of diverse backgrounds, making robust and practical target detection an ongoing challenge. This reprint gathers insights from leading experts, presenting cutting-edge research findings and offering forward-looking perspectives to address these pressing issues in remote sensing and object detection. |
| format | Online |
| id | doab-20.500.12854ir-165338 |
| 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-1653382025-08-12T09:22:25Z Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II Dong, Yanni Yang, Xiaochen Du, Qian Remote sensing Target detection Artificial intelligence Machine learning Deep learning Object detection New datasets. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The purpose of this reprint is to provide readers with a comprehensive understanding of the latest advancements and technical approaches in the fields of remote sensing target detection and object detection. Remote sensing target detection focuses on identifying and locating specific targets of interest within remote sensing images, serving as a cornerstone for applications such as resource exploration, environmental monitoring, and national security. Recent years have witnessed significant progress in artificial intelligence (AI), which has been widely applied to tasks such as regression, clustering, and classification. While AI-driven methods exhibit remarkable capabilities in processing the vast volumes of data generated by remote sensing, they heavily rely on abundant high-quality labeled samples, posing challenges in the context of remote sensing big data. Consequently, their performance is often constrained by the scarcity of labeled data and the complexity of diverse backgrounds, making robust and practical target detection an ongoing challenge. This reprint gathers insights from leading experts, presenting cutting-edge research findings and offering forward-looking perspectives to address these pressing issues in remote sensing and object detection. 2025-08-12T09:22:23Z 2025-08-12T09:22:23Z 2025 book ONIX_20250812T110751_9783725836055_94 9783725836055 9783725836062 https://directory.doabooks.org/handle/20.500.12854/165338 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10863 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3606-2 10.3390/books978-3-7258-3606-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725836055 9783725836062 358 open access |
| spellingShingle | Remote sensing Target detection Artificial intelligence Machine learning Deep learning Object detection New datasets. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II |
| title | Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II |
| title_full | Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II |
| title_fullStr | Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II |
| title_full_unstemmed | Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II |
| title_short | Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II |
| title_sort | artificial intelligence driven methods for remote sensing target and object detection ii |
| topic | Remote sensing Target detection Artificial intelligence Machine learning Deep learning Object detection New datasets. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | Remote sensing Target detection Artificial intelligence Machine learning Deep learning Object detection New datasets. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20250812T110751_9783725836055_94 |