Imperial College London
Professor Wayne Luk

ProfessorWayneLuk

Faculty of Engineering, Department of Computing

Professor of Computer Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8313w.luk Website

 
 
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Location

 

434Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Li:2019:10.3390/rs11091025,
author = {Li, W and He, C and Fu, H and Zheng, J and Dong, R and Xia, M and Yu, L and Luk, W},
doi = {10.3390/rs11091025},
journal = {Remote Sensing},
title = {A real-time tree crown detection approach for large-scale remote sensing images on FPGAs},
url = {http://dx.doi.org/10.3390/rs11091025},
volume = {11},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The on-board real-time tree crown detection from high-resolution remote sensing images is beneficial for avoiding the delay between data acquisition and processing, reducing the quantity of data transmission from the satellite to the ground, monitoring the growing condition of individual trees, and discovering the damage of trees as early as possible, etc. Existing high performance platform based tree crown detection studies either focus on processing images in a small size or suffer from high power consumption or slow processing speed. In this paper, we propose the first FPGA-based real-time tree crown detection approach for large-scale satellite images. A pipelined-friendly and resource-economic tree crown detection algorithm (PF-TCD) is designed through reconstructing and modifying the workflow of the original algorithm into three computational kernels on FPGAs. Compared with the well-optimized software implementation of the original algorithm on an Intel 12-core CPU, our proposed PF-TCD obtains the speedup of 18.75 times for a satellite image with a size of 12,188 × 12,576 pixels without reducing the detection accuracy. The image processing time for the large-scale remote sensing image is only 0.33 s, which satisfies the requirements of the on-board real-time data processing on satellites.
AU  - Li,W
AU  - He,C
AU  - Fu,H
AU  - Zheng,J
AU  - Dong,R
AU  - Xia,M
AU  - Yu,L
AU  - Luk,W
DO  - 10.3390/rs11091025
PY  - 2019///
SN  - 2072-4292
TI  - A real-time tree crown detection approach for large-scale remote sensing images on FPGAs
T2  - Remote Sensing
UR  - http://dx.doi.org/10.3390/rs11091025
UR  - http://hdl.handle.net/10044/1/70614
VL  - 11
ER  -
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