File(s) stored somewhere else
Please note: Linked content is NOT stored on Open Access Te Herenga Waka-Victoria University of Wellington and we can't guarantee its availability, quality, security or accept any liability.
Distance-based edge detection on synthetic aperture radar imagery
journal contributionposted on 28.05.2021, 20:21 authored by ADC Nascimento, KF Silva, Alejandro FreryAlejandro Frery
Synthetic aperture radar is an efficient remote sensing tool by producing high spacial resolution images. But, synthetic aperture radar data suffer speckle noise effect that difficult their processing (for example, making boundary detection). We propose and assess edge detectors for synthetic aperture radar imagery based on stochastic distances between models.These edge detectors stem from generalized divergences with good asymptotic properties. Results reveal that divergence-based detectors can outperform the likelihood-based counterpart.