John R Ballesteros
Biographic Data
| ID | 9966560 |
|---|---|
| NAME | John R Ballesteros |
| GIVEN NAMES | John R |
| FAMILY NAME | Ballesteros |
| SIGNATURE | BALLESTEROS J R |
| AFFILIATIONS | Universidad Nacional de Colombia |
| ORCID | 0000-0001-7369-8399 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Vepl-Net
Vegetation encroachment in power line corridors remains a major challenge for modern energy-dependent societies, as it can cause power outages and lead to significant financial losses. Unmanned Aerial Vehicles (UAVs) have emerged as a promising solution for monitoring infrastructure, owing to their ability to acquire high-resolution overhead images of these areas quickly and affordably. However, accurate segmentation of the vegetation encroachmen…
A GIS Pipeline to Produce GeoAI Datasets from Drone Overhead Imagery
Drone imagery is becoming the main source of overhead information to support decisions in many different fields, especially with deep learning integration. Datasets to train object detection and semantic segmentation models to solve geospatial data analysis are called GeoAI datasets. They are composed of images and corresponding labels represented by full-size masks typically obtained by manual digitizing. GIS software is made of a set of tools t…
No prominent works on this page.
A GIS Pipeline to Produce GeoAI Datasets from Drone Overhead Imagery
Drone imagery is becoming the main source of overhead information to support decisions in many different fields, especially with deep learning integration. Datasets to train object detection and semantic segmentation models to solve geospatial data analysis are called GeoAI datasets. They are composed of images and corresponding labels represented by full-size masks typically obtained by manual digitizing. GIS software is made of a set of tools t…
Vepl-Net
Vegetation encroachment in power line corridors remains a major challenge for modern energy-dependent societies, as it can cause power outages and lead to significant financial losses. Unmanned Aerial Vehicles (UAVs) have emerged as a promising solution for monitoring infrastructure, owing to their ability to acquire high-resolution overhead images of these areas quickly and affordably. However, accurate segmentation of the vegetation encroachmen…
Artificial Intelligence (2 works) · Automated Road and Building Extraction (2 works) · Computer Science (2 works) · Computer vision (2 works) · Remote sensing (2 works) · Remote Sensing and LiDAR Applications (2 works) · Segmentation (2 works) · Aerial image (1 work) · Data mining (1 work) · Database (1 work)