A Tree Crown Segmentation Approach for Unmanned Aerial Vehicle Remote Sensing Images on Field Programmable Gate Array (FPGA) Neural Network Accelerator

Tree crown detection of high-resolution UAV forest remote sensing images using computer technology has been widely performed in the last ten years. In forest resource inventory management based on remote sensing data, crown detection is the most important and essential part. Deep learning technology...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 25; H. 9; S. 2729
Hauptverfasser:	Ma, Jiayi, Yan, Lingxiao, Chen, Baozhe, Zhang, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 25.04.2025 MDPI
Schlagworte:	Accuracy Algorithms Automation Classification Data processing Deep learning Digital integrated circuits Drone aircraft Field programmable gate arrays neural network accelerator Neural networks Remote sensing Satellites Semantics SoC design tree crown segmentation China Pennsylvania SoC design neural network accelerator tree crown segmentation
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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