8 citations · 22 across the 5 of their papers we have counts for
5 papers
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning
Mehdi Khoshboresh-Masouleh, Reza Shah-Hosseini
In recent years, unmanned aerial vehicle (UAV) imaging is a suitable solution for real-time monitoring different vehicles on the urban scale. Real-time vehicle detection with the u…
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling
Mohammad R. Bayanlou, Mehdi Khoshboresh-Masouleh
Single-task learning in artificial neural networks will be able to learn the model very well, and the benefits brought by transferring knowledge thus become limited. In this regard…
Deep few-shot learning for bi-temporal building change detection
Mehdi Khoshboresh-Masouleh, Reza Shah-Hosseini
In real-world applications (e.g., change detection), annotating images is very expensive. To build effective deep learning models in these applications, deep few-shot learning meth…
Robust building footprint extraction from big multi-sensor data using deep competition network
Mehdi Khoshboresh-Masouleh, Mohammad R. Saradjian
Building footprint extraction (BFE) from multi-sensor data such as optical images and light detection and ranging (LiDAR) point clouds is widely used in various fields of remote se…
SAMA-VTOL: A new unmanned aircraft system for remotely sensed data collection
Mohammad R. Bayanlou, Mehdi Khoshboresh-Masouleh
In recent years, unmanned aircraft systems (UASs) are frequently used in many different applications of photogrammetry such as building damage monitoring, archaeological mapping an…