Sea ice is a crucial component of the Earth's climate system and is high...
Earth observation (EO) is a prime instrument for monitoring land and oce...
The recognition or understanding of the scenes observed with a SAR syste...
In this paper, we proposed to investigate unsupervised anomaly detection...
Spaceborne synthetic aperture radar (SAR) can provide accurate images of...
Machine Learning (ML) techniques are employed to analyze and process big...
Spaceborne synthetic aperture radar can provide meters scale images of t...
Integrating the special electromagnetic characteristics of Synthetic Ape...
This report summarizes the results of Learning to Understand Aerial Imag...
We propose a novel framework for cross-modal zero-shot learning (ZSL) in...
In the past decade, object detection has achieved significant progress i...
Conventional existing retrieval methods in remote sensing (RS) are often...
The classification of large-scale high-resolution SAR land cover images
...
We address the problem of cross-modal information retrieval in the domai...
Contrary to optical images, Synthetic Aperture Radar (SAR) images are in...
Object detection is an important and challenging problem in computer vis...
Very High Spatial Resolution (VHSR) large-scale SAR image databases are ...
Remote sensing (RS) image retrieval based on visual content is of great
...
We present an end-to-end trainable deep convolutional neural network (DC...
This paper proposes to perform authorship analysis using the Fast Compre...
Content-Based Image Retrieval (CBIR) systems are powerful search tools i...
Compression-based similarity measures are effectively employed in
applic...
High resolution satellite image sequences are multidimensional signals
c...