Object-based image analysis combined with improved DenseNet for land use classification in mining areas-Reference-Cited by-同舟云学术

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Object-based image analysis combined with improved DenseNet for land use classification in mining areas

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 29th International Conference on Geoinformatics
language:
Short-container-title:

Author:

Wang Fei¹,Guo Junting¹,Du Shouhang²,Li Jun²,Song Ziheng¹,Zhang Chengye²,Li Zhenwei²

Affiliation:

1. National Institute of Low Carbon and Clean Energy,State Key Laboratory of Water Resource Protection and Utilization in Coal Mining,Beijing,China

2. China University of Mining and Technology - Beijing,College of Geoscience and Surveying Engineering,Beijing,China

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9963788/9963792/09963878.pdf?arnumber=9963878

Reference23 articles.

1. Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery

2. What's wrong with pixels? Some recent developments interfacing remote sensing and GIS;blaschke;Zeitschrift fur Geoinformationsysteme,2001

3. Geographic Object-Based Image Analysis – Towards a new paradigm

4. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

5. Object-Based Image Content Characterisation for Semantic-Level Image Similarity Calculation

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