scholarly journals Autonomous Parking-lots Detection with Multi-sensor Data Fusion Using Machine Deep Learning Techniques

2021 ◽  
Vol 66 (2) ◽  
pp. 1595-1612
Author(s):  
Kashif Iqbal ◽  
Sagheer Abbas ◽  
Muhammad Adnan Khan ◽  
Atifa Ather ◽  
Muhammad Saleem Khan ◽  
...  
Author(s):  
M. Schmitt ◽  
L. H. Hughes ◽  
X. X. Zhu

<p><strong>Abstract.</strong> While deep learning techniques have an increasing impact on many technical fields, gathering sufficient amounts of training data is a challenging problem in remote sensing. In particular, this holds for applications involving data from multiple sensors with heterogeneous characteristics. One example for that is the fusion of synthetic aperture radar (SAR) data and optical imagery. With this paper, we publish the <i>SEN1-2</i> dataset to foster deep learning research in SAR-optical data fusion. <i>SEN1-2</i> comprises 282;384 pairs of corresponding image patches, collected from across the globe and throughout all meteorological seasons. Besides a detailed description of the dataset, we show exemplary results for several possible applications, such as SAR image colorization, SAR-optical image matching, and creation of artificial optical images from SAR input data. Since <i>SEN1-2</i> is the first large open dataset of this kind, we believe it will support further developments in the field of deep learning for remote sensing as well as multi-sensor data fusion.</p>


Author(s):  
Geoffrey Ho ◽  
Erin Kim ◽  
Shahzaib Khattak ◽  
Stephanie Penta ◽  
Tharmarasa Ratnasingham ◽  
...  

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