Examining Dynamic Time Warping Algorithms for Hyper Spectral Image Data-Reference-Cited by-同舟云学术

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Examining Dynamic Time Warping Algorithms for Hyper Spectral Image Data

Published:2024-03-15 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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Author:

Kumar Ravindra¹,Maney Kiran Lokesh²,Rai Keerti³

Affiliation:

1. Vivekananda Global University,Department of Mathematics,Jaipur,India

2. JAIN (Deemed to be University),School of Mangement - UG,Department of Management,Bangalore,Karnataka,India

3. ARKA JAIN University,Department of Electrical & Electronics Engineering,Jamshedpur,Jharkhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531352.pdf?arnumber=10531352

Reference20 articles.

1. Drought stress prediction and propagation using time series modeling on multimodal plant image sequences

2. Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series

3. Measuring lane-changing trajectories by employing context-based modified dynamic time warping

4. Maple species identification based on leaf hyperspectral imaging data

5. An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples

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