About
Contact & Profiles
A5085183631
Research Areas
- Remote Sensing and LiDAR Applications
- Conservation, Biodiversity, and Resource Management
- Rangeland and Wildlife Management
- Species Distribution and Climate Change
- Fire effects on ecosystems
- Ecology and Vegetation Dynamics Studies
- Rural Development and Agriculture
- Remote Sensing in Agriculture
- Environmental Sustainability and Education
Universidade Estadual Paulista (Unesp)
2016-2017
10.1016/j.ecolind.2017.02.037
article
EN
Ecological Indicators
2017-03-27
In this paper, we analyse the use of convolutional neural networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To best our knowledge, is first work dedicated investigation deep features in such task. The experimental evaluation demonstrate that significantly outperform wellknown feature extraction techniques. achieved results also show it possible learn and classify patterns even This makes approach feasible for real-world mapping applications, where...
10.1109/prrs.2016.7867024
article
EN
2016-12-04
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