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
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
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
Multiscale Sea-Land Segmentation Networks for Weak Boundaries
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3389750
Abstract: Sea-land segmentation based on remote sensing images is one of the most important means to realize dynamic monitoring of coastal zones. However, the traditional models adopt the same design and simple stacking, resulting in equal… read more here.
Keywords: weak boundaries; segmentation; remote sensing; land segmentation ... See more keywords
Parameter-Efficient Fine-Tuning With Frequency Adapter for Enhanced Sea–Land Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3573159
Abstract: Accurate sea-land segmentation (SLS) from satellite imagery is essential for monitoring coastline changes, which holds great significance for coastal regions. Recent advances in deep learning (DL), particularly convolutional neural networks (CNNs) and vision transformers (ViTs),… read more here.
Keywords: land segmentation; efficient fine; parameter efficient; sea land ... See more keywords