[HTML][HTML] Free and open source urbanism: Software for urban planning practice
W Yap, P Janssen, F Biljecki - Computers, Environment and Urban Systems, 2022 - Elsevier
Free and open source tools present numerous opportunities to support current urban
planning practice. However, their overview is fragmented, and the uptake among planning …
planning practice. However, their overview is fragmented, and the uptake among planning …
Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: Challenges and opportunities revisited
Hardin and Jensen (2011) presented six challenges to using small Unmanned Aerial
Systems (sUAS) for environmental remote sensing: challenge of the hostile flying …
Systems (sUAS) for environmental remote sensing: challenge of the hostile flying …
Satellite image time series classification with pixel-set encoders and temporal self-attention
Satellite image time series, bolstered by their growing availability, are at the forefront of an
extensive effort towards automated Earth monitoring by international institutions. In …
extensive effort towards automated Earth monitoring by international institutions. In …
Multi-modal temporal attention models for crop mapping from satellite time series
Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …
information, while C-band radar captures useful geometrical information and is immune to …
UAV photogrammetry for concrete bridge inspection using object-based image analysis (OBIA)
S Zollini, M Alicandro, D Dominici, R Quaresima… - Remote Sensing, 2020 - mdpi.com
Monitoring infrastructures is becoming an important and challenging issue. In Italy, the
heritage consists of more than 60,000 bridges, which need to be inspected and detected in …
heritage consists of more than 60,000 bridges, which need to be inspected and detected in …
An automatic and modular stereo pipeline for pushbroom images
C De Franchis, E Meinhardt-Llopis, J Michel… - ISPRS Annals of the …, 2014 - hal.science
The increasing availability of high resolution stereo images from Earth observation satellites
has boosted the development of tools for producing 3D elevation models. The objective of …
has boosted the development of tools for producing 3D elevation models. The objective of …
Time-space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
In this article, we investigate several structured deep learning models for crop type
classification on multi-spectral time series. In particular, our aim is to assess the respective …
classification on multi-spectral time series. In particular, our aim is to assess the respective …
Attention-aware dynamic self-aggregation network for satellite image time series classification
An effective network structure is essential for the classification of satellite image time series
(SITS). Deep learning models have been widely used for SITS classification and achieved …
(SITS). Deep learning models have been widely used for SITS classification and achieved …
Large-scale feature selection with Gaussian mixture models for the classification of high dimensional remote sensing images
A Lagrange, M Fauvel… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A large-scale feature selection wrapper is discussed for the classification of high
dimensional remote sensing. An efficient implementation is proposed based on intrinsic …
dimensional remote sensing. An efficient implementation is proposed based on intrinsic …
Riparian shading mitigates warming but cannot revert thermal alteration by impoundments in lowland rivers
Given the actual trajectory of greenhouse gases emissions, in situ actions are needed to
limit rivers water warming. Riparian tree planting has been shown as a successful mitigation …
limit rivers water warming. Riparian tree planting has been shown as a successful mitigation …