通过卷积神经网络自动检测屋顶太阳能电池板

IF 2 4区 地球科学 Q3 REMOTE SENSING
Simon Pena Pereira, Azarakhsh Rafiee, Stef Lhermitte
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引用次数: 0

摘要

将全球能源部门从以化石燃料为基础转变为可再生能源,对于限制全球变暖和实现气候中和至关重要。可再生能源的分散性、可再生性和可持续发展性使其在全球范围内发挥着重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Rooftop Solar Panel Detection Through Convolutional Neural Networks
Transforming the global energy sector from fossil-fuel based to renewable energy sources is crucial to limiting global warming and achieving climate neutrality. The decentralized nature of the rene...
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来源期刊
自引率
3.80%
发文量
40
期刊介绍: Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.
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