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The main objective of the conference is to present an updated view of the state-of-the-art in active and passive microwave remote sensing techniques and to provide a playground for scientists coming f...
Wildfire detection and attribution is an issue of importance due to the socio-economic impact of fires in Australia. Early detection of fires allows emergency response agencies to make informed decisi...
Slope deformation is one of the typical geohazards that causes an extensive economic damage in mountainous regions. As such, they are usually intensively monitored by means of modern expertise commonl...
The purpose of this research is to investigate the Qingdao coastal wind field properties as a preparation for the 2008 Olympic sailing event based on space-borne Scatterometer and Synthetic Aperture R...
Active learning reduces training costs for supervised classification by acquiring ground truth data only for the most useful samples. We present a new concept for the analysis of active learning techn...
This paper presents a fully automated system for area detection based on satellite images and topographic features from a database. The surfaces issued from the database are refined using active conto...
As a result of global warming, the depth of the permafrost active layer on the QinghaiTibet Plateau (QTP) hasbeen increasing progressively during thepast few decades. The Cold and Arid Regions Enviro...
We have developed a prototype full waveform hyperspectral LiDAR and investigated its potential for remote sensing applications. Traditionally hyperspectral remote sensing is based on passive measureme...
A classifier based on Bayesian theory and Markov random field (MRF) is presented to classify the active microwave and passive optical remote sensing data, which have demonstrated their respective adva...
In the field of 3D scanning, there is an increasing need for more accurate technologies to acquire 3D models of close range objects. Underwater exploration, for example, is very hard to perform due to...

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