Detection and Mapping of Chestnut Using Deep Learning from High-Resolution UAV-Based RGB Imagery
Y Sun, Z Hao, Z Guo, Z Liu, J Huang - Remote Sensing, 2023 - mdpi.com
The semantic segmentation method based on high-resolution RGB images obtained by
unmanned aerial vehicle (UAV) provides a cost-effective way to improve the accuracy of …
unmanned aerial vehicle (UAV) provides a cost-effective way to improve the accuracy of …
[HTML][HTML] Application of an improved U-Net with image-to-image translation and transfer learning in peach orchard segmentation
J Cheng, Y Zhu, Y Zhao, T Li, M Chen, Q Sun… - International Journal of …, 2024 - Elsevier
Peach cultivation holds a significant economic importance, and obtaining the spatial
distribution of peach orchards is helpful for yield prediction and precision agriculture. In this …
distribution of peach orchards is helpful for yield prediction and precision agriculture. In this …
Parameter Identification of Pilot Model and Stability Analysis of Human-in-Loop Image Seeker
Y Zhang, T Li, Y Li, G Wang - Aerospace, 2023 - mdpi.com
In the human-in-loop (HIL) guidance mode, a pilot quickly identifies and flexibly locks on to a
target through a real-time image signal transmitted by the aircraft. Then, the line-of-sight …
target through a real-time image signal transmitted by the aircraft. Then, the line-of-sight …
[HTML][HTML] Remote Sensing Identification of Picea schrenkiana var. tianschanica in GF-1 Images Based on a Multiple Mixed Attention U-Net Model
J Zheng, D Chen, H Zhang, G Zhang, Q Zhen, S Liu… - Forests, 2024 - mdpi.com
Remote sensing technology plays an important role in woodland identification. However, in
mountainous areas with complex terrain, accurate extraction of woodland boundary …
mountainous areas with complex terrain, accurate extraction of woodland boundary …