A deep learning framework for the detection of tropical cyclones from satellite images

A Nair, KSSS Srujan, SR Kulkarni… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Tropical cyclones (TCs) are the most destructive weather systems that form over the tropical
oceans, with about 90 storms forming globally every year. The timely detection and tracking …

Developing a data-driven transfer learning model to locate Tropical Cyclone centers on Satellite Infrared Imagery

C Wang, X Li - Journal of Atmospheric and Oceanic …, 2023 - journals.ametsoc.org
In this paper, a data-driven transfer learning (TL) model for locating tropical cyclone (TC)
centers from satellite infrared images in the northwest Pacific is developed. A total of 2450 …

A deep-learning-based fusion approach for global cyclone detection using multiple remote sensing data

M Xie, Y Li, S Dong - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
Cyclone detection is a classic yet developing topic. Various methods have been developed
for the purpose of cyclone detection based on sea level pressure, cloud imagery, and wind …

Automatically locate tropical cyclone centers using top cloud motion data derived from geostationary satellite images

G Zheng, J Liu, J Yang, X Li - IEEE Transactions on Geoscience …, 2019 - ieeexplore.ieee.org
This article presents a novel technique for automatically locating tropical cyclone (TC)
centers based on top cloud motions in consecutive geostationary satellite images. The high …

Remote Sensing of Tropical Cyclones by Spaceborne Synthetic Aperture Radar: Past, present, and future

B Zhang, W Perrie - IEEE Geoscience and Remote Sensing …, 2024 - ieeexplore.ieee.org
Spaceborne synthetic aperture radar (SAR) is a unique microwave satellite sensor used to
monitor tropical cyclones (TCs) with high-resolution and large coverage under all weather …

Tropical cyclone intensity classification from infrared images of clouds over Bay of Bengal and Arabian Sea using machine learning classifiers

C Kar, S Banerjee - Arabian Journal of Geosciences, 2021 - Springer
Tropical cyclones are natural phenomena occurring in coastal tropical regions that cause
damage to life and property. Hence, a study of their evolution is necessary to prevent loss of …

Intensity prediction of tropical cyclone using multilayer multi-block local binary pattern and tree-based classifiers over North Indian Ocean

C Kar, S Banerjee - Computers & Geosciences, 2021 - Elsevier
Local binary pattern (LBP) is an extensively used method in image analysis and pattern
recognition related works across various domains. In this paper, we explore cyclone cloud …

An automatic algorithm for estimating tropical cyclone centers in synthetic aperture radar imagery

Y Wang, G Zheng, X Li, L Zhou, B Liu… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) can monitor the sea surface imprints of tropical cyclones
(TCs) with high spatial resolution, day and night. Automatically locating TC center positions …

A 2 kfps sub-µW/Pix uncooled-PbSe digital imager with 10 bit DR adjustment and FPN correction for high-speed and low-cost MWIR applications

JM Margarit, G Vergara, V Villamayor… - IEEE Journal of Solid …, 2015 - ieeexplore.ieee.org
Mid-wavelength infrared (MWIR) thermography is an emerging technology with promising
applications such as industrial monitoring, medicine and automotive, but its use in high …

Formation of winter supertyphoons Haiyan (2013) and Hagupit (2014) through interactions with cold fronts as observed by multifunctional transport satellite

YS Lee, YA Liou, JC Liu, CT Chiang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper incorporates remote sensing imagery and image processing techniques to
analyze typhoons' evolution into supertyphoons through interactions with cold fronts in the …