UAB Digital Repository of Documents 4 records found  Search took 0.01 seconds. 
1.
Competitive Segmentation Performance on Near-lossless and Lossy Compressed Remote Sensing Images / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Pinho, Armando J. (University of Aveiro. Signal Processing Laboratory) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Image segmentation lies at the heart of multiple image processing chains, and achieving accurate segmentation is of utmost importance as it impacts later processing. Image segmentation has recently gained interest in the field of remote sensing, mostly due to the widespread availability of remote sensing data. [...]
2019 - 10.1109/LGRS.2019.2934997
IEEE geoscience and remote sensing letters, (August 2019)  
2.
Multilevel split regression wavelet analysis for lossless compression of remote sensing data / Álvarez-Cortés, Sara (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Spectral redundancy is a key element to be exploited in compression of remote sensing data. Combined with an entropy encoder, it can achieve competitive lossless coding performance. One of the latest techniques to decorrelate the spectral signal is the regression wavelet analysis (RWA). [...]
2018 - 10.1109/LGRS.2018.2850938
IEEE geoscience and remote sensing letters, Vol. 15 issue 10 (Oct. 2018) , p. 1540-1544  
3.
5 p, 227.6 KB Diffusion-based inpainting for coding remote-sensing data / Amrani, Naoufal (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Peter, Pascal (Saarland University (Alemanya). Mathematical Image Analysis Group) ; Weickert, Joachim (Saarland University (Alemanya). Mathematical Image Analysis Group)
Inpainting techniques based on partial differential equations (PDEs) such as diffusion processes are gaining growing importance as a novel family of image compression methods. Nevertheless, the application of inpainting in the field of hyperspectral imagery has been mainly focused on filling in missing information or dead pixels due to sensor failures. [...]
2017 - 10.1109/LGRS.2017.2702106
IEEE geoscience and remote sensing letters, Vol. PP, issue 99 (June 2017)  
4.
5 p, 1.6 MB Hybrid compression of hyperspectral images based on PCA with pre-encoding discriminant information / Lee, Chulhee (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Youn, Sungwook (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Jeong, Taeuk (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Lee, Eunjae (Yŏnse Taehakkyo. School of Electrical and Electronic Engineering) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
It has been shown that image compression based on principal component analysis (PCA) provides good compression efficiency for hyperspectral images. However, PCA might fail to capture all the discriminant information of hyperspectral images, since features that are important for classification tasks may not be high in signal energy. [...]
2015 - 10.1109/LGRS.2015.2409897
IEEE geoscience and remote sensing letters, Vol. 12 Núm. 7 (July 2015) , p. 1491-1495  

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