Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines

Remote Sensing- Switzerland

doi 10.3390/rs12050859

Full Text

Abstract

Available in

Categories

Planetary Sciences

Date

March 6, 2020

Authors

Gabriel Steinberg

Timothy S. de Smet

Publisher

MDPI AG

Related search

Deep Learning to Automate Brasfield Chest Radiographic Scoring for Cystic Fibrosis

Journal of Cystic Fibrosis

Respiratory Medicine

English

Small UAV Target Detection Model Based on Deep Neural Network

Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

English

Applying Deep Learning to Fast Radio Burst Classification

Astronomical Journal

Planetary Science

English

A Framework to Automate Cloud Based Service Attacks Detection and Prevention

International Journal of Advanced Computer Science and Applications

Computer Science

English

Recent Trends in Deep Learning Based Personality Detection

Artificial Intelligence Review

Artificial Intelligence

English

Research on Face Detection Based on Deep Learning

DEStech Transactions on Computer Science and Engineering

English

Detection of Pedestrian Actions Based on Deep Learning Approach

Studia Universitatis Babeș-Bolyai Informatica

English

Monte Carlo Modeling of a 252cf-Based Detection System for Landmines.

International Journal of Advanced Research

English

Using Deep Learning for Image-Based Plant Disease Detection

Frontiers in Plant Science

English