Next Article in Journal
Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot
Next Article in Special Issue
Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa
Previous Article in Journal
Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola
Previous Article in Special Issue
Papaya Tree Detection with UAV Images Using a GPU-Accelerated Scale-Space Filtering Method
Open AccessArticle

A Small UAV Based Multi-Temporal Image Registration for Dynamic Agricultural Terrace Monitoring

by Ziquan Wei 1,2,†, Yifeng Han 1,2,†, Mengya Li 1,2,†, Kun Yang 1,3,*, Yang Yang 1,2,3,*, Yi Luo 1,3,* and Sim-Heng Ong 4
1
School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China
2
Laboratory of Pattern Recognition and Artificial Intelligence, Yunnan Normal University, Kunming 650500, China
3
The Engineering Research Center of GIS Technology in Western China of Ministry of Education of China, Yunnan Normal University, Kunming 650500, China
4
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Remote Sens. 2017, 9(9), 904; https://doi.org/10.3390/rs9090904
Received: 15 July 2017 / Revised: 21 August 2017 / Accepted: 21 August 2017 / Published: 31 August 2017
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. View Full-Text
Keywords: agricultural terrace; dynamic monitoring; multi-temporal; image registration; small UAVs agricultural terrace; dynamic monitoring; multi-temporal; image registration; small UAVs
Show Figures

Graphical abstract

MDPI and ACS Style

Wei, Z.; Han, Y.; Li, M.; Yang, K.; Yang, Y.; Luo, Y.; Ong, S.-H. A Small UAV Based Multi-Temporal Image Registration for Dynamic Agricultural Terrace Monitoring. Remote Sens. 2017, 9, 904.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop