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Manually annotated reef halos based on sattelite imagery from 6 study areas as training and test data for a deep learning model

DataONE2024-12-18 更新2025-04-26 收录

珊瑚礁生态遥感

图像语义分割

数据链接：

https://search.dataone.org/view/sha256:f411971008394a2ec361cf48fb8f79365484a46289637cd61d8abcb7efe39405 数据链接链接失效反馈

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资源简介：

Manually annotated reef halos

手动标注的礁晕（reef halos）

应用场景：

创建时间：

2024-12-22

遥感图像分割

图像语义分割

Doodleverse/Segmentation Zoo Res-UNet models for 4-class (water, whitewater, sediment and other) segmentation of Sentinel-2 and Landsat-7/8 7-band (RGB+NIR+SWIR+NDWI+MNDWI) images of coasts. Models

NIAID Data Ecosystem70

Rural distribution power line vegetation management dataset (vegetation, power line, power pole/structure, and background)

电力线路巡检

图像语义分割

This dataset comprises 2,404 images of rural distribution power lines (and some abutting areas in urban zones), categorized into four classes: vegetation, power line, power pole/structure, and backgro

Zenodo2026-05-18 更新20

Database Semantic Web and Medical Diagnosis SLR

语义网医学诊断

图像语义分割

Semantic Web (SW) constitutes a significant evolution in management and application of information in different disciplines including medicine, where it can be useful in complex thought processes such

Figshare2024-08-25 更新20

Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, whitewater, sediment, other)

海岸线遥感

图像语义分割

Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, whitewater, sediment, other) Description 579 images and 579 asso

NIAID Data Ecosystem40

Code for the single U-Net model (Model 8).

红树林物种识别

图像语义分割

Land cover and plant species identification using satellite images and deep learning approaches have recently been a widely addressed area of research. However, mangroves, a specific species that have

NIAID Data Ecosystem20

Manually annotated reef halos based on sattelite imagery from 6 study areas as training and test data for a deep learning model

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