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Implementation of machine-learning classification in remote sensing: an applied review
Free accessTaylor & Francis Verlag | 2018| -
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Taylor & Francis Verlag | 2013| -
Determining tree height and crown diameter from high-resolution UAV imagery
Taylor & Francis Verlag | 2017| -
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Free accessTaylor & Francis Verlag | 2018| -
UAS, sensors, and data processing in agroforestry: a review towards practical applications
Taylor & Francis Verlag | 2017| -
A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery
Taylor & Francis Verlag | 2019| -
SAR-based detection of flooded vegetation – a review of characteristics and approaches
Taylor & Francis Verlag | 2018| -
Mapping a keystone shrub species, huckleberry (Vaccinium membranaceum), using seasonal colour change in the Rocky Mountains
Taylor & Francis Verlag | 2019| -
Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests - preliminary results
Taylor & Francis Verlag | 2018| -
An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
Taylor & Francis Verlag | 2017| -
Shallow water bathymetry mapping using Support Vector Machine (SVM) technique and multispectral imagery
Taylor & Francis Verlag | 2018| -
Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier
Taylor & Francis Verlag | 2019| -
Unidirectional variation and deep CNN denoiser priors for simultaneously destriping and denoising optical remote sensing images
Taylor & Francis Verlag | 2019|
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