A shadow identification method using vegetation indices derived from hyperspectral data-Reference-Cited by-同舟云学术

A shadow identification method using vegetation indices derived from hyperspectral data

Published:2017-06-14 Issue:19 Volume:38 Page:5357-5373
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Liu Xiaolong¹²,Hou Zhiting¹,Shi Zhengtao¹,Bo Yanchen²,Cheng Jiehai³

Affiliation:

1. College of Tourism & Geography Science, Yunnan Normal University , Kunming, Yunnan, China

2. State Key Laboratory of Remote Sensing Science, Research Centre for Remote Sensing and GIS, and School of Geography, Beijing Normal University , Beijing, China

3. School of Surveying & Land Information Engineering, Henan Polytechnic University , Jiaozuo, China

Funder

Fundamental Research Funds for the Universities of Henan Province

Water Conservancy Science and Technology Project of Yunnan Provincial Water Resources Department

Applied Basic Research Key Project of Yunnan Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1338785

Reference37 articles.

1. Shadow detection in very high spatial resolution aerial images: A comparative study

2. Shadow detection in colour high‐resolution satellite images

3. Integration of LiDAR and QuickBird imagery for mapping riparian biophysical parameters and land cover types in Australian tropical savannas

4. Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery

5. Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas

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