Simple weakly supervised deep learning pipeline for detecting individual red-attacked trees in VHR remote sensing images
| Autor: | Chengbo Wang, Honggan Wu, Rui Qiao, Yuanfei Chang, Ali Ghodsi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science business.industry Deep learning Pipeline (computing) 0211 other engineering and technologies Pine tree Pattern recognition 02 engineering and technology 01 natural sciences Convolutional neural network Object detection Remote sensing (archaeology) Pine wood Earth and Planetary Sciences (miscellaneous) Artificial intelligence Electrical and Electronic Engineering business 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Remote Sensing Letters. 11:650-658 |
| ISSN: | 2150-7058 2150-704X |
| DOI: | 10.1080/2150704x.2020.1752410 |
| Popis: | After an attack the by pine wood nematode, pine tree needles turn red. Using convolutional neural networks (CNNs) based object detection methods, machines can detect red-attacked trees. However, mo... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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