Scatterer trajectory association is a critical step of 3-D target reconstruction from the inverse
synthetic aperture radar (ISAR) image sequence. To cope with the complex scatterer …

Ubiquitous low cost multi-rotor and fixed wing drones or unmanned aerial vehicles (UAVs)
have accelerated the need for reliable, robust, and scalable Structure-from-Motion (SfM) and …

Detection of moving objects especially vehicles in videos acquired from an airborne camera
is very useful for video analytics applications including traffic flow, urban planning …

Abstract Structure from motion (SfM) is used to recover camera poses and the sparse
structure of real scenes from multiview images. SfM methods construct a view‐graph from …

Multi-modal systems extract information about the environment using specialized sensors
that are optimized based on the wavelength of the phenomenology and material …

We introduce a novel discrete cosine transform-based feature (DCTF) descriptor designed
for both robustly matching features in aerial video and tracking features across wide …

Abstract Combining Dirichlet Mixture Models (DMM) with deep learning models for road
extraction is an attractive study topic. Benefiting from DMM, the manually labeling work is …

In this paper we introduce a novel end-to-end framework for generation of large, aerial, city-
scale, realistic synthetic image sequences with associated accurate and precise camera …

Semantic point cloud segmentation is a critical task in 3-D computer vision, offering valuable
contextual information for navigation, cartography, landmarks, object recognition, and …

Aerial video captured from an airborne platform has an expanding range of applications
including scene understanding, photogrammetry, surveying and mapping, traffic monitoring …