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Data · dataset · 2025

sea-land segmentation V1.1

Listed in ScienceDB

The sea land segmentation V1.1 has released a total of 2113 images.

Description

The raw data comes from the publicly available data of Sentinel-1 SAR satellite and is processed using GRD data mode, including orbit correction, thermal noise removal, radiometric calibration, speckle filtering, and terrain correction. The dataset contains images of the southeastern coastal region of China and the coastal regions of various Southeast Asian countries.

This dataset adopts manual filtering and annotation processing methods, including raw sea land images and segmentation/coastline edge labels. This dataset has the characteristics of complex scenes and rich categories.The image and label formats in the dataset are both PNG, and the image size is uniformly 512 × 512.Reference format for this dataset:[1] 张涛,朱任柯,魏飞鸣,张增辉,郁文贤. 海陆分割-海岸线数据集V1.1(sea-land segmentation V1.1)[OL]. 雷达学报, 2025. radars.ac.cn/web/data/getData?dataType=sea-landsegmentation.Zhang T, Zhu R,Wei F, Zhang Z,Yu W. The Dataset for Sea-land Segmentation and Coastline Detection Based on GRD Format SAR Images from Sentinel-1 Satellite(sea-land segmentation V1.1)[OL].

Read the rest (1 more)

Journal of Radars, 2025. radars.ac.cn/web/data/getData?dataType=sea-landsegmentation_en&pageType=en.[2] Zhu R, Zhang T, Li J, et al. A Network for Merging SAR Image Sea-Land Segmentation and Coastline Detection Tasks [J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: 1-5, Art no. 4017305.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Oceanography 68% · Satellite remote sensing 65%
Provenance · 1 source records, 14 field assertions
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ScienceDB10.57760/sciencedb.radars.0002912 d agoJSON v1
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