Automatic Identification of Tree Species From Sentinel-2A Images Using Band Combinations and Deep Learning
Author:
Affiliation:
1. Remote Sensing and GIS Laboratory, Thiagarajar College of Engineering, Madurai, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8859/10365397/10401176.pdf?arnumber=10401176
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1. A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
2. Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening
3. Plant Disease Identification Using Shallow Convolutional Neural Network
4. An efficient deep neural network for disease detection in rice plant using XGBOOST ensemble learning framework;Kumar;Int. J. Intell. Syst. Appl. Eng.,2022
5. Tree Species Classification Based on Sentinel-2 Imagery and Random Forest Classifier in the Eastern Regions of the Qilian Mountains
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