Robotic photosieving from low‐cost multirotor sUAS: a proof‐of‐concept

Carbonneau P.E.; Bizzi S.; Marchetti G.

摘要

Abstract >Measurement of riverbed material grain sizes is now a routine part of fieldwork in fluvial geomorphology and lotic ecology. In the last decade, several authors have proposed remote sensing approaches of grain size measurements based on terrestrial and aerial imagery. Given the current rise of small unmanned aerial system (sUAS) applications in geomorphology, there is now increasing interest in the application of these remotely sensed grain size mapping methods to sUAS imagery. However, success in this area has been limited owing to two fundamental problems: lack of constraint of image scale for sUAS imagery and blurring effects in sUAS images and resulting orthomosaics. In this work, we solve the former by showing that SfM‐photogrammetry can be used in a direct georeferencing (DG) workflow (i.e. with no ground validation) in order to predict image scale within margins of 3%. We then propose a novel approach of robotic photosieving of dry exposed riverbed grains that relies on near‐ground images acquired from a low‐cost sUAS and which does not require the presence of ground control points or visible scale objects. We demonstrate that this absence of scale objects does not affect photosieving outputs thus resulting in a low‐cost and efficient sampling method for surficial grains. Copyright ? 2017 John Wiley & Sons, Ltd. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract XMLNS =“http://www.wiley.com/namespaces/wiley”type =“main”xml：lang =“en”> <title type =“main”>抽象</ title> >测量河床材料颗粒尺寸现在是河流地貌和豪隐生态学的常规部分。在过去的十年中，一些作者提出了基于地面和空中图像的粒度测量遥感方法。鉴于小型无人机系统（SUAS）在地貌上的应用，现在越来越兴趣，这些遥感晶粒尺寸绘图方法对苏斯图像的应用。然而，由于两个基本问题，这一领域的成功受到了限制：苏斯图像中缺乏图像规模的限制和苏斯图像中的模糊效果，并产生正轨。在这项工作中，我们通过表明SFM-PhopGramMetry可以用于直接地理学（DG）工作流程（即没有地面验证）来解决前者，以便在3％的边缘内预测图像刻度。然后，我们提出了一种新颖的机器人照片的干燥暴露河床谷物方法，其依赖于从低成本苏斯获得的近地图像，并且不需要存在地面控制点或可见尺度对象。我们证明，这种缺乏尺度对象不会影响相比之下的输出，从而导致曲面粒的低成本和有效的采样方法。版权？ 2017年John Wiley＆amp; SONS，LTD。</ p> </ abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-22319/'>《Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group》</a> <b style="margin: 0 2px;">|</b><span>2018年第5期</span><b style="margin: 0 2px;">|</b><span>共7页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Carbonneau P.E.&option=202" target="_blank" rel="nofollow">Carbonneau P.E.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Bizzi S.&option=202" target="_blank" rel="nofollow">Bizzi S.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Marchetti G.&option=202" target="_blank" rel="nofollow">Marchetti G.;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Department of GeographyDurham UniversityDurham UK;</p> <p>Department of Electronics Information and Bioengineering Politecnico di MilanoPiazza Leonardo da Vinci Milano Italy;</p> <p>Department of Electronics Information and Bioengineering Politecnico di MilanoPiazza Leonardo da Vinci Milano Italy;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/163.html" title="地球物理学">地球物理学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=sUAS&option=203" rel="nofollow">sUAS;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=drone&option=203" rel="nofollow">drone;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=grain size mapping&option=203" rel="nofollow">grain size mapping;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=fluvial remote sensing&option=203" rel="nofollow">fluvial remote sensing;</a> </p> <div class="translation"> 机译：苏斯;无人机;谷物尺寸映射;河流遥感; 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