Building area extraction from the high spatial resolution remote sensing imagery-Reference-Cited by-同舟云学术

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Building area extraction from the high spatial resolution remote sensing imagery

Published:2018-07-08 Issue:1 Volume:12 Page:19-29
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Shi Wenzao^ORCID,Mao Zhengyuan,Liu Jinqing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province, China

Program for Changjiang Scholars and Innovative Research Team in University

Special Funds of the Central Government Guiding Local Science and Technology Development

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/article/10.1007/s12145-018-0355-5/fulltext.html

Reference20 articles.

1. Ahmadi S, Zoej MJV, Ebadi H et al (2010) Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours. International Journal of Applied Earth Observations & Geoinformation 12(3):150–157

2. Benedek C, Descombes X, Zerubia J (2011) Building development monitoring in multitemporal remotely sensed image pairs with stochastic birth-death dynamics. IEEE Transactions on Pattern Analysis & Machine Intelligence 34(1):33–50

3. Benediktsson JA, Pesaresi M, Amason K (2003) Classification and feature extraction for remote sensing images from urban areas based on morphological transformations. IEEE Trans Geosci Remote Sens 41(9):1940–1949

4. Gamba P, Dell’ Acqua F, Lisini G et al (2007) Improved VHR urban area mapping exploiting object boundaries. IEEE Transactions on Geoscience & Remote Sensing 45(8):2676–2682

5. Jiménez LI, Plaza J, Plaza A (2017) Efficient implementation of morphological index for building/shadow extraction from remotely sensed images. J Supercomput 73(1):482–494

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