[PDF][PDF] Deep unsupervised domain adaptation: A review of recent advances and perspectives
X Liu, C Yoo, F ** with adversarial learning and spatially aware self-training
Nowadays, satellite image time series (SITS) are commonly employed to derive land-cover
maps (LCM) to support decision makers in a variety of land management applications. In the …
maps (LCM) to support decision makers in a variety of land management applications. In the …
Multi-sensor temporal unsupervised domain adaptation for land cover map** with spatial pseudo labelling and adversarial learning
With the huge variety of Earth observation satellite missions available nowadays, the
collection of multisensor remote sensing information depicting the same geographical area …
collection of multisensor remote sensing information depicting the same geographical area …
Open-set domain adaptation for scene classification using multi-adversarial learning
Abstract Domain adaptation methods are able to transfer knowledge across different
domains, tackling multi-sensor, multi-temporal or cross-regional remote sensing scenarios …
domains, tackling multi-sensor, multi-temporal or cross-regional remote sensing scenarios …
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …
rapidly growing human population. Collecting large quantities of agricultural data helps to …
Location-aware adaptive normalization: a deep learning approach for wildfire danger forecasting
Climate change is expected to intensify and increase extreme events in the weather cycle.
Since this has a significant impact on various sectors of our life, recent works are concerned …
Since this has a significant impact on various sectors of our life, recent works are concerned …
[HTML][HTML] A source-free unsupervised domain adaptation method for cross-regional and cross-time crop map** from satellite image time series
Precise and timely information about crop types plays a crucial role in various agriculture-
related applications. However, crop type map** methods often face significant challenges …
related applications. However, crop type map** methods often face significant challenges …