Opening book details…
Can I read Forest Fire Detection from UAV Images Using Fusion of Pre-trained Mobile CNN Features on EtoBox?
Forest Fire Detection from UAV Images Using Fusion of Pre-trained Mobile CNN Features by Bhuma Chandra Mohan is a engineering available to read on EtoBox.
What is Forest Fire Detection from UAV Images Using Fusion of Pre-trained Mobile CNN Features about?
<p>This volume gathers the latest advances, innovations, and applications in the field of geographic information systems and unmanned aerial vehicle (UAV) technologies, as presented by leading researchers and engineers at the 2nd International Conference on Unmanned Aerial System in Geomatics (UASG), held in Roorkee, India on April 2-4, 2021. It covers highly diverse topics, including photogrammetry and remote sensing, surveying, UAV manufacturing, geospatial data sensing, UAV processing, visual
Who reads Forest Fire Detection from UAV Images Using Fusion of Pre-trained Mobile CNN Features?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Bhuma Chandra Mohan
- Publisher
- Springer International Publishing AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031193095
- Category
- engineering
- Subjects
- Science, Soil & Rock, Engineering
- Updated
- 2026-03-25
More by Bhuma Chandra Mohan
Browse all works by Bhuma Chandra Mohan
Similar books
- Leaf Disease Prediction and Detection Using CNN — R. Sravani; N. Sandhya; Kamuni Kavita; Snigdha Soni (2023)
- Aerial Forest Smoke’s Fire Detection Using Enhanced YOLOv5 — Dalila Cherifi; Belkacem Bekkour; Assala Benmalek; Meroua Bayou; Ines Mechti; Abdelghani Bekkouche; Chaima Amine; Ahmed Halak (2023)
- Road Sign Classification Using Transfer Learning and Pre-trained CNN Models — Seyed Hossein Hosseini; Foad Ghaderi; Behzad Moshiri; Mojtaba Norouzi (2023)
- Performance Analysis of Intrusion Detection System using CNN, ANN and DNN — R. C. Jeyavim Sherin; K. Parkavi (2023)
- Argania Forest Change Detection from Sentinel-2 Satellite Images Using U-Net Architectures — Soufiane Idbraim; Taha Bouhsine; Mohamed Reda Dahbi; Antoine Masse; Manuel Arbelo (2023)
- Detection and Classification of Paddy Leaf Diseases Using Deep Learning (CNN) — S. Maheswaran; S. Sathesh; P. Rithika; I. Mohammed Shafiq; S. Nandita; R. D. Gomathi (2022)