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
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(9), 904;

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

1,3,* , 1,2,3,* , 1,3,* and 4
School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China
Laboratory of Pattern Recognition and Artificial Intelligence, Yunnan Normal University, Kunming 650500, China
The Engineering Research Center of GIS Technology in Western China of Ministry of Education of China, Yunnan Normal University, Kunming 650500, China
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore
These authors contributed equally to this work.
Authors to whom correspondence should be addressed.
Received: 15 July 2017 / Revised: 21 August 2017 / Accepted: 21 August 2017 / Published: 31 August 2017
Full-Text   |   PDF [4095 KB, uploaded 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

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

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.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top