• 原文创作
  • vip
    会员
    • 我的主页 个人中心 退出登录 登录网站，可立即获得以下权益：  收藏有用内容  阅读优质知识  进行评论互动  分享有用知识 立即登录

    约11页 pdf
    作者：
    出版日期：
    出版社： Ned Horning, Center for Biodiversity and Conservation American Museum of Natural History New York New York10024, Erica Fleishman, Department of Environmental Science and Policy University of California Davis California95616, Department of Fish, Wildlife and Conservation Biology Colorado State University Fort Collins Colorado80523, Peter J. Ersts, Center for Biodiversity and Conservation American Museum of Natural History New York New York10024, Frank A. Fogarty, Department of Environmental Science and Policy University of California Davis California95616, Martha Wohlfeil Zillig, Department of Environmental Science and Policy University of California Davis California95616,
    思维导图： 点击这里查看思维导图
    标签：
    ai标签:
    {{description}}
    {{content}}
    内容加载中...

    剩余{{ unReadPage }}页未读， 继续阅读

    评论 {{commentNum}}
    avatar
    {{ item.user.nickName }}
    {{ item.auditTime }}
    {{ item.content }}
    评论
    删除
    {{ reply.content }}
    回复
    删除
    avatar
    {{userInfo.nickName}} {{userInfo.nickName}}
    {{userInfo.userAuthName}}
    {{userInfo.userAuthName}}
    136
    文档
    1.5m
    阅读
    40k
    粉丝
    私信
    相关推荐
    Land cover change mapping using high resolution satellites and unmanned aerial vehicle
    0阅读
     · 
    0点赞
    Ultra‐high‐resolution mapping of biocrusts with Unmanned Aerial Systems
    1阅读
     · 
    0点赞
    Ultra‐high‐resolution mapping of biocrusts with Unmanned Aerial Systems
    1阅读
     · 
    0点赞
    Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery
    0阅读
     · 
    0点赞
    Mapping vegetation biophysical and biochemical properties using unmanned aerial vehicles-acquired imagery
    0阅读
     · 
    0点赞
    Acacia dealbata classification from aerial imagery acquired using unmanned aerial vehicles
    0阅读
     · 
    0点赞
    Acacia dealbata classification from aerial imagery acquired using unmanned aerial vehicles
    1阅读
     · 
    0点赞
    High-resolution spectral mapping of urban thermal properties with Unmanned Aerial Vehicles
    0阅读
     · 
    0点赞
    Impact of boosting saturation on automatic human detection in imagery acquired by unmanned aerial vehicles
    0阅读
     · 
    0点赞
    Geospatial-based machine learning techniques for land use and land cover mapping using a high-resolution unmanned aerial vehicle image
    0阅读
     · 
    0点赞
    找对属于你的技术圈子
    回复「进群」加入官方微信
    为你推荐
  • Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland
    使用无人机 (UAV) 获取的异质草原高空间分辨率图像进行物种分类
  • Open-source unmanned aerial vehicles: Vulnerabilities, exploits, and risk.
  • Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
    利用无人机航拍图像估计车辆位置
  • Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
    使用无人驾驶航空器的空中图像进行车辆位置评估
  • Evolutionary Mapping with Multiple Unmanned Aerial Vehicles
    多架无人机的进化制图
  • Autonomous Aerial Mapping Using a Swarm of Unmanned Aerial Vehicles
    使用无人机群进行自主空中测绘
  • Inclined Image Recognition for Aerial Mapping by Unmanned Aerial Vehicles
    无人机航测倾斜图像识别
  • Inclined Image Recognition for Aerial Mapping by Unmanned Aerial Vehicles
    无人机空中地图的突出图像识别
  • Autonomous Aerial Mapping Using a Swarm of Unmanned Aerial Vehicles
    使用一群无人驾驶飞行器的自主航空测绘
  • Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)
    使用从无人机 (UAV) 获取的高分辨率高光谱图像估算葡萄园中叶子的类胡萝卜素含量
    • {{viewlikeslist.praiseCount}}点赞
    {{viewlikeslist.rewardCount}}赞赏
    {{viewlikeslist.collectCount}}收藏
    {{viewlikeslist.treadCount}}踩     {{viewlikeslist.marketCount}}分享
    文档下载
    {{originName}}.pdf
    文档价格: {{payAmount * 100}}币
    微信支付扫码支付下载
    扫码即表示接受《下载须知》
    还需支付金额: ¥{{payAmount}} ({{Math.floor(payAmount * 100)}}金币)

    • 使用微信扫码完成付费即可下载，详询用户协议和隐私政策

    现在开通VIP，本文档享专属折扣

    赞赏作者的才华

    {{userInfo.nickName}}
    {{ item }}
    确认微信支付