SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset
Deep learning has been widely used in the field of SAR ship detection. However, current SAR ship detection still faces many challenges, such as complex scenes, multiple scales, and small targets. In order to promote the solution to the above problems, this article releases a high-resolution SAR ship...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/24/5104 |
| _version_ | 1827669859164487680 |
|---|---|
| author | Songlin Lei Dongdong Lu Xiaolan Qiu Chibiao Ding |
| author_facet | Songlin Lei Dongdong Lu Xiaolan Qiu Chibiao Ding |
| author_sort | Songlin Lei |
| collection | DOAJ |
| description | Deep learning has been widely used in the field of SAR ship detection. However, current SAR ship detection still faces many challenges, such as complex scenes, multiple scales, and small targets. In order to promote the solution to the above problems, this article releases a high-resolution SAR ship detection dataset which can be used for rotating frame target detection. The dataset contains six categories of ships. In total, 30 panoramic SAR tiles of the Chinese Gaofen-3 of port areas with a 1-m resolution were cropped to slices, each with 1024 × 1024 pixels. In addition, most of the images in the dataset contain nearshore areas with complex background interference. Eight state-of-the-art rotated detectors and a CFAR-based method were used to evaluate the dataset. Experimental results revealed that the complex background will have a great impact on the performance of detectors. |
| first_indexed | 2024-03-10T03:11:57Z |
| format | Article |
| id | doaj.art-ce489a3bb11644378966f3ec41ff757f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:11:57Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ce489a3bb11644378966f3ec41ff757f2023-11-23T10:24:52ZengMDPI AGRemote Sensing2072-42922021-12-011324510410.3390/rs13245104SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection DatasetSonglin Lei0Dongdong Lu1Xiaolan Qiu2Chibiao Ding3Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaLaboratory of Spatial Information Intelligent Processing System, Suzhou Aerospace Information Research Institute, Suzhou 215000, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaDeep learning has been widely used in the field of SAR ship detection. However, current SAR ship detection still faces many challenges, such as complex scenes, multiple scales, and small targets. In order to promote the solution to the above problems, this article releases a high-resolution SAR ship detection dataset which can be used for rotating frame target detection. The dataset contains six categories of ships. In total, 30 panoramic SAR tiles of the Chinese Gaofen-3 of port areas with a 1-m resolution were cropped to slices, each with 1024 × 1024 pixels. In addition, most of the images in the dataset contain nearshore areas with complex background interference. Eight state-of-the-art rotated detectors and a CFAR-based method were used to evaluate the dataset. Experimental results revealed that the complex background will have a great impact on the performance of detectors.https://www.mdpi.com/2072-4292/13/24/5104ship detection datasethigh-resolution SARrotating frame target detection |
| spellingShingle | Songlin Lei Dongdong Lu Xiaolan Qiu Chibiao Ding SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset Remote Sensing ship detection dataset high-resolution SAR rotating frame target detection |
| title | SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset |
| title_full | SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset |
| title_fullStr | SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset |
| title_full_unstemmed | SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset |
| title_short | SRSDD-v1.0: A High-Resolution SAR Rotation Ship Detection Dataset |
| title_sort | srsdd v1 0 a high resolution sar rotation ship detection dataset |
| topic | ship detection dataset high-resolution SAR rotating frame target detection |
| url | https://www.mdpi.com/2072-4292/13/24/5104 |
| work_keys_str_mv | AT songlinlei srsddv10ahighresolutionsarrotationshipdetectiondataset AT dongdonglu srsddv10ahighresolutionsarrotationshipdetectiondataset AT xiaolanqiu srsddv10ahighresolutionsarrotationshipdetectiondataset AT chibiaoding srsddv10ahighresolutionsarrotationshipdetectiondataset |