Machine Learning Based Crop Classification with Sentinel-1 Data-Reference-Cited by-同舟云学术

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Machine Learning Based Crop Classification with Sentinel-1 Data

Published:2022-11-19 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
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Author:

Gupta Soma¹,Mohanty Satarupa¹,Behera Dayal Kumar²,Dash Shreela³

Affiliation:

1. School of Computer Engineering, KIIT Deemed to be University,Bhubaneswar,India

2. Silicon Institute of Technology,Department of Computer Science & Engineering,Bhubaneswar,India

3. Centurion University of Technology and Management,Department of Computer Science & Engineering,Bhubaneswar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10088285/10088286/10088297.pdf?arnumber=10088297

Reference28 articles.

1. Mapping Maize Fields by Using Multi-Temporal Sentinel-1A and Sentinel-2A Images in Makarfi, Northern Nigeria, Africa

2. Machine Learning in Indian Crop Classification of Temporal Multi-Spectral Satellite Image

3. Mapping Paddy Rice with Sentinel-1/2 and Phenology-, Object-Based Algorithm—A Implementation in Hangjiahu Plain in China Using GEE Platform

4. Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France

5. Crop Type Classification based on Machine Learning with Multitemporal Sentinel-1 Data

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. Classification of Citrus Crops Using Satellite Multispectral Imagery and Deep Neural Network;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

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