DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2833382
Abstract: Semantic segmentation is a fundamental research in optical remote sensing image processing. Because of the complex maritime environment, the sea-land segmentation is a challenging task. Although the neural network has achieved excellent performance in semantic… read more here.
Keywords: land segmentation; segmentation; network; sea land ... See more keywords
SeNet: Structured Edge Network for Sea–Land Segmentation
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DOI: 10.1109/lgrs.2016.2637439
Abstract: Separating an optical remote sensing image into sea and land areas is very challenging yet of great importance to coastline extraction and subsequent object detection. Traditional methods based on handcrafted feature extraction and image processing… read more here.
Keywords: segmentation; edge; structured edge; sea land ... See more keywords
Sea—Land Segmentation for Panchromatic Remote Sensing Imagery via Integrating Improved MNcut and Chan—Vese Model
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2768300
Abstract: Sea–land segmentation is a key step for some important applications of panchromatic remote sensing image processing. However, robust and effective sea–land segmentation for high-resolution panchromatic remote sensing images is still a challenging problem. This letter… read more here.
Keywords: land segmentation; remote sensing; segmentation; sea land ... See more keywords