Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series
The use of high spatial resolution Satellite Image Time Series (SITS) provides an opportunity
for a wide spectrum of Earth surface monitoring applications such as Land Use/Land Cover …
for a wide spectrum of Earth surface monitoring applications such as Land Use/Land Cover …
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) that impairs
mobility and safety. Traditional detection methods face challenges due to intra and inter …
mobility and safety. Traditional detection methods face challenges due to intra and inter …
[HTML][HTML] Wi-Fi sensing gesture control algorithm based on semi-supervised generative adversarial network
C Wang, Y Ding, M Zhou, L Tang - PeerJ Computer Science, 2024 - peerj.com
A Wi-Fi-sensing gesture control system for smart homes has been developed based on a
theoretical investigation of the Fresnel region sensing model, addressing the need for non …
theoretical investigation of the Fresnel region sensing model, addressing the need for non …
Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network
With the advent of modern Earth observation (EO) systems, the opportunity of collecting
satellite image time series (SITS) provides valuable insights to monitor spatiotemporal …
satellite image time series (SITS) provides valuable insights to monitor spatiotemporal …
Investigating Deep Learning and Image-Encoded Time Series Approaches for Multi-Scale Remote Sensing Analysis in the context of Land Use/Land Cover Mapping
A Abidi - 2024 - hal.science
In this thesis, the potential of machine learning (ML) in enhancing the mapping of complex
Land Use and Land Cover (LULC) patterns using Earth Observation data is explored …
Land Use and Land Cover (LULC) patterns using Earth Observation data is explored …
Sualtı objelerinin makine öğrenmesi yöntemleri ile tespitinde zaman serisi-görüntü dönüşümü tabanlı yeni yaklaşımlar
MU Demirezen, A Civrizoğlu… - … Mimarlık Fakültesi Dergisi, 2021 - dergipark.org.tr
Ses dalgalarını kullanarak cismin boyut, uzaklık, yön ve diğer özelliklerinin tespit edilmesi
için kullanılan sonar; denizaltı maden, petrol aramalarında, denizaltı haritalamasında, balık …
için kullanılan sonar; denizaltı maden, petrol aramalarında, denizaltı haritalamasında, balık …
[PDF][PDF] Novel Approach for Imaging Time Series for the Improvement of Classification Results “Grayscale Fingerprint Features Field Imaging (G3FI)”
H AL JOUMAA, L AL-SHROUF… - …, 2023 - dpi-proceedings.com.destechpub …
The remarkable successes achieved by Deep Learning (DL) in computer vision drew the
attention of researchers to exploit this capability to apply it for the processing of time series …
attention of researchers to exploit this capability to apply it for the processing of time series …
Encodage 2D de séries temporelles d'imagerie satellitaires pour l'amélioration
In this paper, we propose Encodeep, a novel method for land use/land cover classification
using satellite time series images (STIS). Our objective is to explore the 2D transformation of …
using satellite time series images (STIS). Our objective is to explore the 2D transformation of …