Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data-Reference-Cited by-同舟云学术

Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data

Published:2023-02-16 Issue:4 Volume:44 Page:1215-1237
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Cheng Gang¹,Ding Huan¹,Yang Jie¹,Cheng Yushu²

Affiliation:

1. College Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo, People's Republic of China

2. Branch of Aero-photogrammery & Remote Sensing Institute, Mineral Resources Exploration Center of Henan Geological Bureau, Zhengzhou, People's Republic of China

Funder

Fundamental Research Funds for the Universities of Henan Province

Ministry of Education

Science and Technology Project of Henan Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2176723

Reference66 articles.

1. Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry

2. Assessment of ERS-1 SAR data for rice crop mapping and monitoring

3. Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island

4. Random forest in remote sensing: A review of applications and future directions

5. Utilizing image texture to detect land-cover change in Mediterranean coastal wetlands

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