An Assessment of Geometric Activity Features for Per-pixel Classification of Urban Man-made Objects using Very High Resolution Satellite Imagery-Reference-Cited by-同舟云学术

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An Assessment of Geometric Activity Features for Per-pixel Classification of Urban Man-made Objects using Very High Resolution Satellite Imagery

Published:2009-04-01 Issue:4 Volume:75 Page:397-411
ISSN:0099-1112
Container-title:Photogrammetric Engineering & Remote Sensing
language:en
Short-container-title:photogramm eng remote sensing

Author:

Chan Jonathan Cheung-Wai,Bellens Rik,Canters Frank,Gautama Sidharta

Publisher

American Society for Photogrammetry and Remote Sensing

Subject

Computers in Earth Sciences

Cited by 12 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. Semantic Segmentation with High-Resolution Sentinel-1 SAR Data;Applied Sciences;2023-05-14

2. Land Cover Change Detection Techniques: Very-High-Resolution Optical Images: A Review;IEEE Geoscience and Remote Sensing Magazine;2021

3. Combining multi-scale textural features from the panchromatic bands of high spatial resolution images with ANN and MLC classification algorithms to extract urban land uses;International Journal of Remote Sensing;2019-05-29

4. Assessment of Land Cover Change in Peri-Urban High Andean Environments South of Bogotá, Colombia;Land;2018-06-12

5. A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses;Transportation Research Part C: Emerging Technologies;2014-10

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