Remote sensing image segmentation advances: A meta-analysis

I Kotaridis, M Lazaridou - ISPRS Journal of Photogrammetry and Remote …, 2021 - Elsevier
The advances in remote sensing sensors during the last two decades have led to the
production of very high spatial resolution multispectral images. In order to adapt to this rapid …

Review of studies on tree species classification from remotely sensed data

FE Fassnacht, H Latifi, K Stereńczak… - Remote sensing of …, 2016 - Elsevier
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers

L Drăguţ, O Csillik, C Eisank, D Tiede - ISPRS Journal of photogrammetry …, 2014 - Elsevier
We introduce a new automated approach to parameterising multi-scale image segmentation
of multiple layers, and we implemented it as a generic tool for the eCognition® software …

A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery

LP Osco, MS De Arruda, JM Junior, NB Da Silva… - ISPRS Journal of …, 2020 - Elsevier
Visual inspection has been a common practice to determine the number of plants in
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …

[HTML][HTML] Identification of citrus trees from unmanned aerial vehicle imagery using convolutional neural networks

O Csillik, J Cherbini, R Johnson, A Lyons, M Kelly - Drones, 2018 - mdpi.com
Remote sensing is important to precision agriculture and the spatial resolution provided by
Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for …

Lidar boosts 3D ecological observations and modelings: A review and perspective

Q Guo, Y Su, T Hu, H Guan, S Jin… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

[HTML][HTML] Urban tree species classification using a WorldView-2/3 and LiDAR data fusion approach and deep learning

S Hartling, V Sagan, P Sidike, M Maimaitijiang… - Sensors, 2019 - mdpi.com
Urban areas feature complex and heterogeneous land covers which create challenging
issues for tree species classification. The increased availability of high spatial resolution …

Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

D Yin, L Wang - Remote Sensing of Environment, 2019 - Elsevier
Individual mangrove tree parameters are necessary for the efficient management and
protection of this unique ecosystem, but to measure them using remote sensing (RS) is still a …

A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery

LP Osco, MS de Arruda, DN Gonçalves, A Dias… - ISPRS Journal of …, 2021 - Elsevier
Accurately mapping croplands is an important prerequisite for precision farming since it
assists in field management, yield-prediction, and environmental management. Crops are …