Visible and thermal infrared remote sensing for the detection of white-tailed deer using an unmanned aerial system
Visible and thermal infrared remote sensing for the detection of white-tailed deer using an unmanned aerial system
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DOI：
10.1002/wsb.629
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发表时间：
2016-03-01
影响因子：
1.5
通讯作者：
Menard, Patrick
中科院分区：
文献类型：
--
作者：
Chretien, Louis-Philippe;Theau, Jerome;Menard, Patrick
野生动物管理基于代表种群及其栖息地健康的各种测量。一些机构正专注于动物调查，以管理白尾鹿（Odocoileus virginianus）等物种。目前的调查方法面临着降低运营成本以及估计和纠正检测偏差的挑战。我们的试点研究（2012年11月6日在加拿大QC的圣大卫-德-法拉多收集的数据）评估了一种新方法的潜力，该方法使用无人机系统（UAS）以极高的空间分辨率基于可见光和热红外图像处理来检测和计数鹿。监督和无监督的基于像素的图像分类方法，以及基于对象的图像分析（OBIA）进行了评估，不同的空间分辨率和不同的组合的光谱带。没有一种基于像素的方法对检测鹿是有效的。OBIA方法通过使用空间分辨率为0.8厘米/像素的可见光和热红外图像的组合，在最佳条件下以高达100%的比率检测鹿。总体而言，这种方法的平均检测率为0.5，与传统的航空调查相当。针叶林树冠的视觉障碍和与某些元素相关的光谱混淆（例如，裸露的土壤、岩石）是尚未解决的问题。使用具有图像处理的UAS对鹿和其他大型哺乳动物物种进行调查是有希望的，但目前受到无人驾驶航空器的飞行范围和相关法规的限制。(c)2016野生动物协会
Wildlife management is based on various measurements representative of the health of populations and their habitats. Some agencies are focusing on animal surveys to manage species such as white-tailed deer (Odocoileus virginianus). Current survey methods are faced with the challenge of reduced operating costs as well as estimating and correcting detection biases. Our pilot study (data collected on 6 Nov 2012 at Saint-David-de-Falardeau, QC, Canada) assessed the potential of a new approach detect and count deer based on visible and thermal infrared image processing at very-high spatial resolutions using an unmanned aerial system (UAS). Supervised and unsupervised pixel-based image classification approaches as well as object-based image analysis (OBIA) were assessed for different spatial resolutions and with different combinations of spectral bands. None of the pixel-based approaches were effective for detecting deer. The OBIA approach detected deer with a rate of up to 100% under the best conditions by using a combination of visible and thermal infrared imagery at a spatial resolution of 0.8cm/pixel. Overall, this approach had an average detection rate of 0.5, which is comparable to conventional aerial surveys. Visual obstructions by coniferous canopy and the spectral confusion associated with certain elements (e.g., bare soil, rocks) are problems that remain unresolved. Using UASs with image processing for surveys of deer and other species of large mammals is promising, but currently limited by the flight range of unmanned aerial vehicles and the associated regulations. (c) 2016 The Wildlife Society.