Land Cover Classification in Combined Elevation and Optical Images Supported by OSM Data, Mixed-level Features, and Non-local Optimization Algorithms-Reference-Cited by-同舟云学术

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Land Cover Classification in Combined Elevation and Optical Images Supported by OSM Data, Mixed-level Features, and Non-local Optimization Algorithms

Published:2019-03-01 Issue:3 Volume:85 Page:179-195
ISSN:0099-1112
Container-title:Photogrammetric Engineering & Remote Sensing
language:en
Short-container-title:photogramm eng remote sensing

Author:

Bulatov Dimitri,Häufel Gisela,Lucks Lukas,Pohl Melanie

Publisher

American Society for Photogrammetry and Remote Sensing

Subject

Computers in Earth Sciences

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ON ACCELERATION OF THERMAL SIMULATION OF URBAN SCENES WITH THE APPLICATION OF AN EVOLUTIONARY ALGORITHM TO TREE PLANTING STRATEGIES;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-05

2. EFFICIENT TRAINING DATA GENERATION BY CLUSTERING-BASED CLASSIFICATION;ISPRS ANN PHOTO REM;2022

3. Scene-Change Detection Based on Multi-Feature-Fusion Latent Dirichlet Allocation Model for High-Spatial-Resolution Remote Sensing Imagery;Photogrammetric Engineering & Remote Sensing;2021-09-01

4. Semi-automated tree-cadastre updating and tree classification based on high-resolution aerial RGB-imagery in Melville, Australia;Earth Resources and Environmental Remote Sensing/GIS Applications XI;2020-09-20

5. From multi-sensor aerial data to thermal and infrared simulation of semantic 3D models: Towards identification of urban heat islands;Infrared Physics & Technology;2020-03

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