Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
Published 2016 View Full Article
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Title
Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
Authors
Keywords
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Journal
Remote Sensing
Volume 9, Issue 1, Pages 22
Publisher
MDPI AG
Online
2016-12-30
DOI
10.3390/rs9010022
References
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Related references
Note: Only part of the references are listed.- Oil palm mapping using Landsat and PALSAR: a case study in Malaysia
- (2016) Yuqi Cheng et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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- Deep Learning Based Feature Selection for Remote Sensing Scene Classification
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- Towards the development of a regional version of MOD17 for the determination of gross and net primary productivity of oil palm trees
- (2015) Arthur Philip Cracknell et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Spectral–spatial classification of hyperspectral images using deep convolutional neural networks
- (2015) Jun Yue et al. Remote Sensing Letters
- Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
- (2015) Fan Hu et al. Remote Sensing
- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
- (2014) Xueyun Chen et al. IEEE Geoscience and Remote Sensing Letters
- Efficient Framework for Palm Tree Detection in UAV Images
- (2014) Salim Malek et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Deep Learning-Based Classification of Hyperspectral Data
- (2014) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Oil Palm Tree Detection with High Resolution Multi-Spectral Satellite Imagery
- (2014) Panu Srestasathiern et al. Remote Sensing
- Use of UK-DMC 2 and ALOS PALSAR for studying the age of oil palm trees in southern peninsular Malaysia
- (2013) Kian Pang Tan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Evaluation of MODIS gross primary productivity and land cover products for the humid tropics using oil palm trees in Peninsular Malaysia and Google Earth imagery
- (2013) Arthur Philip Cracknell et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions
- (2012) Kian Pang Tan et al. PROGRESS IN PHYSICAL GEOGRAPHY
- Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery
- (2011) Helmi Z. M. Shafri et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing
- (2011) Yinghai Ke et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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