A Small UAV Based Multi-Temporal Image Registration for Dynamic Agricultural Terrace Monitoring
A Small UAV Based Multi-Temporal Image Registration for Dynamic Agricultural Terrace Monitoring
复制标题
基于小型无人机的动态农业梯田多时相图像配准
作者：
魏梓泉;韩一峰;李梦雅;杨昆;杨扬;罗毅
梯田是农业的主要土地利用类型，支撑着中国东南部和西南部的主要农业生产。然而，由于小农耕作、地形复杂、自然灾害和非法占用土地，农业梯田的轻型和低成本动态监测已成为上述地区小农生产系统的严重关切。在这项工作中，我们提出了一种小型无人机。基于多时相图像的配准方法在将多时相图像转换到一个坐标系中起着重要作用，并决定了后续变化检测的有效性。该方法包括四个步骤：(I)基于导引图像滤波的农业梯田图像预处理；(Ii)纹理和几何结构特征的提取与组合；(Iii)多特征导引点集配准；(Iv)基于特征点的图像配准。我们使用一架小型无人机(DJI Phantom 4 Pro)拍摄了20对中国在龙脊和云和梯田拍摄的航拍图像，并与四种最先进的方法进行了比较，我们的方法在大多数情况下都显示出最佳的配准效果。
Terraces are the major land-use type of agriculture and support the main agricultural.production in southeast and southwest China. However, due to smallholder farming, complex.terrains, natural disasters and illegal land occupations, a light-weight and low cost dynamic.monitoring of agricultural terraces has become a serious concern for smallholder production.systems in the above area. In this work, we propose a small unmanned aerial vehicle (UAV).based multi-temporal image registration method that plays an important role in transforming.multi-temporal images into one coordinate system and determines the effectiveness of the subsequent.change detection for dynamic agricultural terrace monitoring. The proposed method consists of.four steps: (i) guided image filtering based agricultural terrace image preprocessing, (ii) texture.and geometric structure features extraction and combination, (iii) multi-feature guided point set.registration, and (iv) feature points based image registration. We evaluated the performance of the.proposed method by 20 pairs of aerial images captured from Longji and Yunhe terraces, China using.a small UAV (the DJI Phantom 4 Pro), and also compared against four state-of-the-art methods where.our method shows the best alignments in most cases.
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影响因子：
1.3
作者：
F. F. Camargo-F.;C. Almeida;T. G. Florenzano;C. Heipke;R. Feitosa;G. Costa
通讯作者：
F. F. Camargo-F.;C. Almeida;T. G. Florenzano;C. Heipke;R. Feitosa;G. Costa
影响因子：
13.5
作者：
M. Wulder;Joanne C. White;R. Nelson;E. Næsset;H. Ørka;N. Coops;T. Hilker;C. Bater;T. Gobakken-
通讯作者：
M. Wulder;Joanne C. White;R. Nelson;E. Næsset;H. Ørka;N. Coops;T. Hilker;C. Bater;T. Gobakken-
西河地区坡耕地等级分类识别
影响因子：
3.4
作者：
Li, Y.1, 2;Gong, Jianhua1, 2;Wang, Dongchuan3;An, Leping4;Li, Rong1
通讯作者：
Li, Rong1
DOI：
10.4461/gfdq2016.39.13
发表时间：
2016
期刊：
--
影响因子：
--
作者：
D. Gioia;M. Bavusi;P. D. Leo;Tonia Giammatteo;M. Schiattarella
通讯作者：
D. Gioia;M. Bavusi;P. D. Leo;Tonia Giammatteo;M. Schiattarella
影响因子：
2.2
作者：
M. D. Val;E. Iriarte;M. Arriolabengoa;A. Aranburu
通讯作者：
M. D. Val;E. Iriarte;M. Arriolabengoa;A. Aranburu