Cyclone track forecasting based on satellite images using artificial neural networks-Reference-Cited by-同舟云学术

Cyclone track forecasting based on satellite images using artificial neural networks

Published:2009-11 Issue:6 Volume:64 Page:513-521
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Kovordányi Rita,Roy Chandan

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference32 articles.

1. Artificial neural networks for the detection of road junctions in aerial images;Barsi;International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,2003

2. Barsi, A., Heipke, C., 2003b. Detecting road junctions by artificial neural networks. In: Remote Sensing and Data Fusion over Urban Areas (Proc. 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN 2003)), Berlin, 22–23 May 2003, pp. 129–132

3. Brad, R., Letia, I.A., 2002a. Extracting cloud motion from satellite image sequences. In: Proc. Seventh International Conference on Control, Automation, Robotics and Vision (ICARCV’2002), Singapore, 2–5 December 2002, pp. 1303–1307

4. Brad, R., Letia, I.A., 2002b. Cloud motion detection from infrared satellite images. In: Proc. Second International Conference on Image and Graphics (ICIG 2002), vol. 4875, China, 16–18 August 2002, pp. 408–412

5. Bureau of Meteorology Research Centre. 2000. Global guide to Tropical Cyclone forecasting, chapter 3. http://www.bom.gov.au/bmrc/pubs/tcguide/ch3/ch3_tableofcontents.htm (accessed 12.01.07)

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence to predict climate and weather change;JMST Advances;2024-02-27

2. SSN: A Novel CNN-Based Architecture for Classification of Tropical Cyclone Images From INSAT-3D;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Transfer Learning-Based Generative Adversarial Network Model for Tropical Cyclone Wind Speed Reconstruction From SAR Images;IEEE Transactions on Geoscience and Remote Sensing;2024

4. A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal;Studies in Computational Intelligence;2024

5. Calamity classification in satellite and drone images using CNN and Transfer Learning;2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2023-05-21