TransCloudSeg: Ground-Based Cloud Image Segmentation With Transformer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3194316
Abstract: Cloud image segmentation plays an important role in ground-based cloud observation. Recently, most existing methods for ground-based cloud image segmentation learn feature representations using the convolutional neural network (CNN), which results in the loss of… read more here.
Keywords: ground based; image segmentation; cloud image; based cloud ... See more keywords
A Novel Ground-Based Cloud Image Segmentation Method by Using Deep Transfer Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3072618
Abstract: Cloud segmentation is fundamental in obtaining many parameters of clouds. However, traditional cloud segmentation performs far from satisfactory, due to the fuzzy boundaries and complex textures of clouds. Although deep learning methods have shown superior… read more here.
Keywords: ground based; cloud segmentation; based cloud; segmentation ... See more keywords
Traceable and Controllable Encrypted Cloud Image Search in Multi-User Settings
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2020.3034232
Abstract: With the advent of cloud computing, explosively increasing images are gradually outsourced to the cloud server for costs saving and feasibility. For security and privacy concerns, images (e.g., medical diagnosis, personal photos) should be encrypted… read more here.
Keywords: controllable encrypted; encrypted cloud; cloud image; search ... See more keywords
Deep Learning-Based Rainfall Prediction Using Cloud Image Analysis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3263872
Abstract: This study presents a new research direction for predicting rainfall amount using cloud image data. Herein, we employ a convolutional neural networks (CNNs) to develop an image-value model from cloud image data collected from May… read more here.
Keywords: model; cloud image; image; rainfall prediction ... See more keywords
Integration Transformer for Ground-Based Cloud Image Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3265384
Abstract: Recently, convolutional neural networks (CNNs) dominate the ground-based cloud image segmentation task, but disregard the learning of long-range dependencies due to the limited size of filters. Although Transformer-based methods could overcome this limitation, they only… read more here.
Keywords: ground based; based cloud; segmentation; cloud image ... See more keywords