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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Change-Driven Image Foveation Approach for Tracking Plant Phenology

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Author(s):
Silva, Ewerton [1] ; Torres, Ricardo S. [2] ; Alberton, Bruna [3] ; Morellato, Leonor Patricia C. [3] ; Silva, Thiago S. F. [4]
Total Authors: 5
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas - Brazil
[2] Norwegian Univ Sci & Technol, Dept ICT & Nat Sci, Larsgardsvegen 2, N-6009 Alesund - Norway
[3] Sao Paulo State Univ, Inst Biosci, Dept Bot, BR-13506900 Rio Claro - Brazil
[4] Univ Stirling, Fac Nat Resources, Biol & Environm Sci, Stirling FK9 4LA - Scotland
Total Affiliations: 4
Document type: Journal article
Source: REMOTE SENSING; v. 12, n. 9 MAY 2020.
Web of Science Citations: 0
Abstract

One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which is able to reduce the computational resources used (i.e., memory storage) in several applications. In this paper, we propose an image foveation approach towards plant phenology tracking where relevant changes within an image time series guide the creation of foveal models used to resample unseen images. By doing so, images are taken to a space-variant domain where regions vary in resolution according to their contextual relevance for the application. We performed our validation on a dataset of vegetation image sequences previously used in plant phenology studies. (AU)

FAPESP's process: 14/50715-9 - Characterizing and predicting biomass production in sugarcane and eucalyptus plantations in Brazil
Grantee:Rubens Augusto Camargo Lamparelli
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 14/00215-0 - Remote phenology and leaf exchange patterns towards a sazonality gradient
Grantee:Bruna de Costa Alberton
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 16/50250-1 - The secret of playing football: Brazil versus the Netherlands
Grantee:Sergio Augusto Cunha
Support type: Research Projects - Thematic Grants
FAPESP's process: 17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system
Grantee:Sergio Augusto Cunha
Support type: Multi-user Equipment Program
FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
Grantee:Alexandre Xavier Falcão
Support type: Research Projects - Thematic Grants
FAPESP's process: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
Grantee:Leonor Patricia Cerdeira Morellato
Support type: Research Program on Global Climate Change - University-Industry Cooperative Research (PITE)
FAPESP's process: 15/24494-8 - Communications and processing of big data in cloud and fog computing
Grantee:Nelson Luis Saldanha da Fonseca
Support type: Research Projects - Thematic Grants
FAPESP's process: 16/01413-5 - Using leaf phenology patterns to investigate net ecosystem exchange controls in tropical vegetations
Grantee:Bruna de Costa Alberton
Support type: Scholarships abroad - Research Internship - Doctorate