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[HTML][HTML] Sentinel-2 data for land cover/use map**: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects
The presence of clouds prevents optical satellite imaging systems from obtaining useful
Earth observation information and negatively affects the processing and application of …
Earth observation information and negatively affects the processing and application of …
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-
modality-dominated remote sensing (RS) applications, especially with an emphasis on …
modality-dominated remote sensing (RS) applications, especially with an emphasis on …
Remote sensing object detection meets deep learning: A metareview of challenges and advances
Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning
Y Li, W Chen, Y Zhang, C Tao, R ** in Lake Urmia, Iran
Traditional soil salinity studies are time-consuming and expensive, especially over large
areas. This study proposed an innovative deep learning convolutional neural network (DL …
areas. This study proposed an innovative deep learning convolutional neural network (DL …
A hybrid cloud detection and cloud phase classification algorithm using classic threshold-based tests and extra randomized tree model
H Shang, H Letu, R Xu, L Wei, L Wu, J Shao… - Remote Sensing of …, 2024 - Elsevier
The detection of clouds from the latest-generation satellites is crucial for the accuracy of
downstream remote sensing products. Classic threshold-based algorithms or machine …
downstream remote sensing products. Classic threshold-based algorithms or machine …
[HTML][HTML] Cloud detection for satellite imagery using attention-based U-Net convolutional neural network
Y Guo, X Cao, B Liu, M Gao - Symmetry, 2020 - mdpi.com
Cloud detection is an important and difficult task in the pre-processing of satellite remote
sensing data. The results of traditional cloud detection methods are often unsatisfactory in …
sensing data. The results of traditional cloud detection methods are often unsatisfactory in …