Sea-land_segmentation_dataset

Citation Author(s):: Jing
Wei
Submitted by:: JingWei Jing
Last updated:: Tue, 05/17/2022 - 22:21
DOI:: 10.21227/fgcf-cz74
Link to Paper:: SANet: A Seaâ€“Land Segmentation Network Via Adaptive Multiscale Feature Learning
License:: Creative Commons Attribution

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Categories:: Geoscience and Remote Sensing

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CITE

Abstract

The dataset is a new high-quality dataset to advance sea-land segmentation with high-resolution remote sensing images. The dataset contains 1,726 hand-labeled and cropped Gaofen-1 images with an 8-meter spatial resolution and 4 bands, covering the various types of coastlines in Lianyungang, China.

Instructions:

The dataset is a new high-quality dataset to advance sea-land segmentation with high-resolution remote sensing images. The dataset contains 1,726 hand-labeled and cropped Gaofen-1 images with an 8-meter spatial resolution and 4 bands, covering the various types of coastlines in Lianyungang, China.