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MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Deep Learning Convolutional Neural Networks Super resolution Crowd-sourced data Data fusion
2017/5/10
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
Application of Artificial Neural Network Technology in Water Color Remote Sensing Inversion of Inland Water Body Using Tm Data
Artificial Neural Network Model Water Color Remote Sensing Extraction Lake Landsat Image
2015/7/8
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial
resolution. However, the precision of water color remote sens...
Extraction of Buildings in Brasilian Urban Environments Using High Resolution Remote Sensing Imagery and Laser Scanner Data
Laser scanner Quickbird Classification.
2015/7/7
The paper describes the resulst of recent experiments of a project that deals with the combined use of high resolution satellite
images, Quickbrid, and laser scanner data to analyse urban images. The...
Risk Assessment for Environmental Applications: Integrated Analysis of Spatial Data Using Multi-temporal Digital orthophotos and Remote-sensing Satellite Images.
multi-temporal analysis digital orthophoto image processing
2015/7/7
A recently instituted National Park, in Southern Italy, is offering a wide experience in landscape knowledge and planning from
multiple sources finalized to the environmental analysis. The study is c...