Extracting Lakes and Reservoirs From GF-1 Satellite Imagery Over China Using Improved U-Net
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3155653
Abstract: Lakes and reservoirs (LaR) are important parts of water resources and their rapid and accurate monitoring is an essential guarantee for maintaining ecological health and social development. The existing waterbody extraction methods are mostly targeted… read more here.
Keywords: reservoirs satellite; improved net; extracting lakes; imagery china ... See more keywords
Study of an Automatic Picking Method for Multimode Dispersion Curves of Surface Waves Based on an Improved U-Net
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224919
Abstract: Surface wave exploration has been increasingly used in near-surface geophysical investigations. However, the accuracy and efficiency of picking dispersion curves are the key to surface wave inversion. Traditional dispersion curve extraction requires manual picking, and… read more here.
Keywords: improved net; dispersion curves; dispersion; extraction ... See more keywords
A Domain Adaptation Method for Land Use Classification Based on Improved HR-Net
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3235050
Abstract: In recent years, the recognition accuracy of a semantic segmentation model on natural images can yield a very high level. Thus, it is of great significance to utilize semantic segmentation algorithm to obtain land use… read more here.
Keywords: domain adaptation; improved net; domain; land use ... See more keywords
Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Diabetes Research"
DOI: 10.1155/2022/4612554
Abstract: Objectives The foveal avascular zone (FAZ) is a biomarker for quantifying diabetic macular ischemia (DMI), to automate the identification and quantification of the FAZ in DMI, using an improved U-Net convolutional neural network (CNN) and… read more here.
Keywords: improved net; cnn; octa images; model ... See more keywords
Automatic segmentation of Caenorhabditis elegans skeletons in worm aggregations using improved U-Net in low-resolution image sequences.
Sign Up to like & getrecommendations! Published in 2023 at "Heliyon"
DOI: 10.2139/ssrn.4265429
Abstract: Pose estimation of C. elegans in image sequences is challenging and even more difficult in low-resolution images. Problems range from occlusions, loss of worm identity, and overlaps to aggregations that are too complex or difficult… read more here.
Keywords: improved net; low resolution; image sequences; resolution ... See more keywords