Deep learning models for the classification of crops in aerial imagery: A review
In recent years, the use of remote sensing data obtained from satellite or unmanned aerial
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …
A dual attention convolutional neural network for crop classification using time-series Sentinel-2 imagery
ST Seydi, M Amani, A Ghorbanian - Remote Sensing, 2022 - mdpi.com
Accurate and timely mapping of crop types and having reliable information about the
cultivation pattern/area play a key role in various applications, including food security and …
cultivation pattern/area play a key role in various applications, including food security and …
Deep learning-based virtual optical image generation and its application to early crop mapping
This paper investigates the potential of cloud-free virtual optical imagery generated using
synthetic-aperture radar (SAR) images and conditional generative adversarial networks …
synthetic-aperture radar (SAR) images and conditional generative adversarial networks …
[HTML][HTML] The efficiency of long short-term memory (LSTM) in phenology-based crop classification
Crop classification plays a vital role in monitoring agricultural landscapes and enhancing
food production. In this study, we explore the effectiveness of Long Short-Term Memory …
food production. In this study, we explore the effectiveness of Long Short-Term Memory …
Improving Typical Urban Land-Use Classification with Active-Passive Remote Sensing and Multi-Attention Modules Hybrid Network: A Case Study of Qibin District …
Z Yang, H Zhang, X Lyu, W Du - Sustainability, 2022 - mdpi.com
The study of high-precision land-use classification is essential for the sustainable
development of land resources. This study addresses the problem of classification errors in …
development of land resources. This study addresses the problem of classification errors in …
[PDF][PDF] Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review. Agriculture 2023, 13, 965
In recent years, the use of remote sensing data obtained from satellite or unmanned aerial
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …
vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield …