Data · dataset · 2019
Dataset for: Wavelet-based Multispectral Image Aligment (WMIA-CIP)
Listed in International Potato Center
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.
Description
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%.
Links
Where it is published
- Dataverse dataset page data.cipotato.org/dataset.xhtml?persistentId=doi%3A10.21223%2F9ANIYM ↗
landing page · from data cipotato org
- DOI doi.org/10.21223/9aniym ↗
DOI / persistent id · from data cipotato org
Catalogue records · 1
- Dataverse API data.cipotato.org/api/datasets/:persistentId/?persistentId=doi%3A10.21223%2F9ANI… ↗
metadata API · from data cipotato org
Topics
- Stated by source
- Agricultural Sciences · Computer and Information Science
- From keywords
- Earth & Environmental Science · Engineering · Life Sciences · Satellite remote sensing
- Inferred from text
- Image 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| International Potato Center | doi:10.21223/9ANIYM | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:agricultural-sciences | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-and-information-science | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · data cipotato org | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | mapping · data cipotato org | vocabulary-mapper@1.0.0 | keywords['Remote sensing'] |
| created_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| description | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /description |
| publication_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| title | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /name |
| updated_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| version_label | source · data cipotato org | connector:data_cipotato_org@1.0.0 |