Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment
Forest fire risk assessment and prevention are crucial topics in environmental management. The most popular method involves using drone imagery and object detection models to analyze risk. However, traditional drone images typically use the sRGB color space, which may lose valuable information. In t...
Saved in:
| Main Authors: | Zhiyuan Yang, Suchang Cao, Michal Aibin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/9/1503 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Improved sRGB Optical Algorithm Considering Thermal Effects and Adaptability for Low-Cost Automotive-Grade Dedicated LED Chips
by: Lingling Hong, et al.
Published: (2025-04-01) -
A Generic Model to Improve Color Reproduction Accuracy of Mobile Displays: A Case Study on Apple Devices
by: Aurora Larrosa, et al.
Published: (2025-06-01) -
A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance
by: Kelvin Betitame, et al.
Published: (2025-04-01) -
RGB-T Object Detection With Failure Scenarios
by: Qingwang Wang, et al.
Published: (2025-01-01) -
A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow
by: Sebastian Banaszek, et al.
Published: (2025-07-01)