Suchergebnisse - "Communication AND Control Engineering::Signal Processing::Image AND Video Processing~"

Efficient three-dimensional near-field imaging with physics-informed deep learning for MIMO radar ; Fizik tabanlı derin öğrenme teknikleri ile üç boyutlu yakın alan MIMO radar görüntüleme

Autoren: Oral, Okyanus Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Weitere Verfasser: Oral, Okyanus Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Schlagwörter: 3D near-field MIMO radar imaging, Complex-valued reconstruction, Plug-and-play methods, Deep learning, Joint optimization, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing, Communication and Control Engineering::Signal Processing::Pattern Recognition and Analysis, Communication and Control Engineering::Signal Processing::Signal Processing for Sensor Sequences, Communication and Control Engineering::Signal Processing::Signal Processing Theory and Methods, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Dateibeschreibung: 90 pages; application/pdf

Relation: https://hdl.handle.net/11511/110033

Verfügbarkeit: https://hdl.handle.net/11511/110033

A novel content-based retrieval system for hyperspectral remote sensing imagery ; Hiperspektral uzaktan algılama görüntüleri için yenilikçi bir içerik tabanlı erişim sistemi

Autoren: Ömrüuzun, Fatih Yardımcı Çetin, Yasemin Leloğlu, Uğur Murat et al.

Weitere Verfasser: Ömrüuzun, Fatih Yardımcı Çetin, Yasemin Leloğlu, Uğur Murat et al.

Schlagwörter: Remote sensing, Content-based semantic retrieval, Hyperspectral imaging, Feature extraction, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Database and Data Structures::Information Storage and Retrieval, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing

Dateibeschreibung: 127 pages; application/pdf

Relation: https://hdl.handle.net/11511/109799

Verfügbarkeit: https://hdl.handle.net/11511/109799

End-to-end learned image compression with normalizing flows for latent space enhancement ; Normalize eden akışlar ile geliştirilen saklı uzay kullanılarak uçtan uca öğrenilmiş görüntü sıkıştırma

Autoren: Yavuz, Fatih Kamışlı, Fatih Department of Electrical and Electronics Engineering

Weitere Verfasser: Yavuz, Fatih Kamışlı, Fatih Department of Electrical and Electronics Engineering

Schlagwörter: Learned image compression, Invertible neural networks, Normalizing flows, Transform coding, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing, Communication and Control Engineering::Signal Processing::Image and Video Processing, Communication and Control Engineering::Signal Processing::Multimedia

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/99780

Verfügbarkeit: https://hdl.handle.net/11511/99780

THE CONCEPT OF SINGLE PIXEL FIBER OPTICAL IMAGING VIA COMPRESSED SENSING ; SIKIŞTIRMALI ALGILAMA İLE TEK PİKSEL FİBER OPTİK GÖRÜNTÜLEME

Autoren: AZGIN, Ahmet Yüce, Emre Department of Micro and Nanotechnology

Weitere Verfasser: AZGIN, Ahmet Yüce, Emre Department of Micro and Nanotechnology

Schlagwörter: Fiber Imaging, Compressed Sensing, Compressive Imaging, Single Pixel Imaging, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/99580

Verfügbarkeit: https://hdl.handle.net/11511/99580

DEEP LEARNING-BASED UNROLLED RECONSTRUCTION METHODS FOR COMPUTATIONAL IMAGING ; HESAPLAMALI GÖRÜNTÜLEME İÇİN DERİN ÖĞRENME TABANLI GERİÇATIM YÖNTEMLERİ

Autoren: Bezek, Can Deniz Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Weitere Verfasser: Bezek, Can Deniz Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Schlagwörter: computational imaging, spectral imaging, inverse problems, image reconstruction, deep learning, algorithm unrolling, truncated convolution, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Other, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/93159

Verfügbarkeit: https://hdl.handle.net/11511/93159