Extracting Urban Impervious Surface From WorldView-2 and Airborne LiDAR Data Using 3D Convolutional Neural Networks

Journal of the Indian Society of Remote Sensing- India

doi 10.1007/s12524-018-0917-5

Full Text

Abstract

Available in

Categories

Planetary Sciences

Date

December 7, 2018

Authors

Publisher

Springer Science and Business Media LLC

Related search

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks

IEEE Transactions on Geoscience and Remote Sensing

Planetary Sciences

Electronic Engineering

English

3d Feature Point Extraction From Lidar Data Using a Neural Network

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

English

Visual Modeling of Data Using Convolutional Neural Networks

International Journal of Engineering and Advanced Technology

Computer Science Applications

Environmental Engineering

English

Algorithm for Extracting Digital Terrain Models Under Forest Canopy From Airborne LiDAR Data

Planetary Sciences

English

Lithological Classification Using Multi-Sensor Data and Convolutional Neural Networks

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

English

AUTOMATIC 3D BUILDING MODEL GENERATIONS WITH AIRBORNE LiDAR DATA

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Instrumentation

Planetary Sciences

Environmental Science

English

Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction

Discrete Dynamics in Nature and Society

English

Multispectral Airborne Laser Scanning Point-Clouds for Land Cover Classification Using Convolutional Neural Networks

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

English

Finer Resolution Estimation and Mapping of Mangrove Biomass Using UAV LiDAR and WorldView-2 Data

English