Detection of land cover usage from optimized learnable parameter artificial neural network (OLPANN) using multispectral images-Reference-Cited by-同舟云学术

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Detection of land cover usage from optimized learnable parameter artificial neural network (OLPANN) using multispectral images

Published:2024-03-19 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Gowri L.,Manjula K. R.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18828-2.pdf

Reference61 articles.

1. Abdi AM (2020) Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data. GISci Remote Sens 57(1):1–20. https://doi.org/10.1080/15481603.2019.1650447

2. Ansari RA, Buddhiraju KM, Bhattacharya A (2020) Textural classification of remotely sensed images using multiresolution techniques. Geocarto Int 35(14):1580–1602. https://doi.org/10.1080/10106049.2019.1581263

3. Barman U, Choudhury RD (2019) Soil texture classification using multi class support vector machine. Inform Process Agricult 7(2):318–332. https://doi.org/10.1016/j.inpa.2019.08.001

4. Bose A et al (2019) Deep learning for brain computer interfaces. Handbook of Deep Learning Applications. Springer, Cham, pp 333–344. https://doi.org/10.1007/978-3-030-11479-4

5. Breiman L (2001) Random forests. Mach Learn 45:5–32. https://doi.org/10.1201/9780367816377-11

Cited by 1 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. Development of Land Cover Classification System Implementation Utilizing an Artificial Neural Network (ANN) Classifier;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

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