Record Details

Dataset for: Wavelet-based Multispectral Image Aligment (WMIA-CIP)

International Potato Center Dataverse OAI Archive

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Title Dataset for: Wavelet-based Multispectral Image Aligment (WMIA-CIP)
 
Identifier https://doi.org/10.21223/9ANIYM
 
Creator Palacios, Susan
Loayza, Hildo
Quiroz, Roberto
 
Publisher International Potato Center
 
Description Currently, techniques based on remote sensing applied to agricultural allow farmers and researches to obtain valuable spatial and temporal information of the crops that can be used in the management of water resources and fertilizers and thus increase the yield. The vertiginous advance of technology has placed at our disposal multispectral sensors which correlates light data reflected from the plant leaves with biological properties of them. On the other hand, the great trend in the development of aerial platforms or unmanned aerial vehicles (UAV) provide us with useful tools for a low-cost remote sensing. In this work, a wavelet-based alignment technique is proposed to aligna multispectral image acquisition system developed previously to obtain NIR and Red aerial images. The use of the Dual-Tree complex wavelet along with the cross correlation is used and the error was 0.05%.
 
Subject Agricultural Sciences
Computer and Information Science
Dual tree complex wavelet transform (DT-CWT)
Correlation
Registration
Remote sensing
Multispectral images
Unmanned aerial vehicle (UAV)
 
Language English
 
Contributor Administrator, CIP
Bill & Melinda Gates Foundation (BMFG)
International Potato Center
Project: Remote Sensing as a Monitoring Tool for Smallholder's Cropping Area Determination in Tanzania and Uganda using Sweet Potato as a Pilot Crop
 
Type cpp