Finding Ground-based Radars in SAR images: Localizing Radio Frequency Interference using Unsupervised Deep Learning

Suppression of Radio Frequency Interference in Low Frequency SAR

To acquire high resolution in airborne radar imaging, either minuscule wavelengths or incredibly large antennas must be used. Another way of solving that issue is to utilise moving radar to realise the effect of a large aperture; a technique called synthetic aperture radar (SAR). CARABAS is a low frequency SAR system, operating in the band of 20 – 90 MHz, designed to minimise the influence from...

Oil spill detection using in Sentinel-1 satellite images based on Deep learning concepts

Awareness of the marine area is very important for crisis management in the event of an accident. Oil spills are one of the main threats to the marine and coastal environments and seriously affect the marine ecosystem and cause political and environmental concerns because it seriously affects the fragile marine and coastal ecosystem. The rate of discharge of pollutants and its related effects o...

Crop Land Change Monitoring Based on Deep Learning Algorithm Using Multi-temporal Hyperspectral Images

Change detection is done with the purpose of analyzing two or more images of a region that has been obtained at different times which is Generally one of the most important applications of satellite imagery is urban development, environmental inspection, agricultural monitoring, hazard assessment, and natural disaster. The purpose of using deep learning algorithms, in particular, convolutional ...

Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture

This paper presents an unsupervised multi-modal learning system that learns associative representation from two input modalities, or channels, such that input on one channel will correctly generate the associated response at the other and vice versa. In this way, the system develops a kind of supervised classification model meant to simulate aspects of human associative memory. The system uses ...

Radio Frequency Interference Mitigation in Radio Astronomy