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This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
Polarimetric Synthetic Aperture Radar(POLSAR) imaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
Neural Network Based Steganalysis in Still Images     Neural Network Based Steganalysis  Still Images       font style='font-size:12px;'> 2010/12/14
Seganalysis has recently attracted researchers’ interests with the development of information hiding techniques. In this paper we propose a new method based neural network to get statistics features ...

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