Improving New Zealand’s vegetation mapping using weakly supervised deep learning-Reference-Cited by-同舟云学术

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Improving New Zealand’s vegetation mapping using weakly supervised deep learning

Published:2024-04-08 Issue: Volume: Page:1-3
ISSN:
Container-title:2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
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Author:

Martin Brent¹,Shepherd James D²,Mason Norman³,Schindler Jan⁴

Affiliation:

1. Manaaki Whenua Landcare Research,Informatics,Lincoln,New Zealand

2. Manaaki Whenua Landcare Research,Informatics,Palmerston North,New Zealand

3. Manaaki Whenua Landcare Research,Ecosystems and Conservation,Hamilton,New Zealand

4. Manaaki Whenua Landcare Research,Informatics,Wellington,New Zealand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543250/10544374/10544907.pdf?arnumber=10544907

Reference7 articles.

1. A brief introduction to weakly supervised learning

2. U-Net: Convolutional Networks for Biomedical Image Segmentation

3. EFFECT OF LABEL NOISE IN SEMANTIC SEGMENTATION OF HIGH RESOLUTION AERIAL IMAGES AND HEIGHT DATA

4. Pernicious pests and public perceptions: Wilding conifers in Aotearoa New Zealand

5. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

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