Recognition and reconstruction of buildings from multiple aerial images-Reference-Cited by-同舟云学术

Recognition and reconstruction of buildings from multiple aerial images

Published:2003-04 Issue:1 Volume:90 Page:68-98
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Jaynes Christopher,Riseman Edward,Hanson Allen

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Token-based extraction of straight lines;Boldt;IEEE Trans. Systems Man Cybernet.,1989

2. C. Brenner, Towards fully automatic generation of city models, in: International Archives of Photogrammetry and Remote Sensing, vol. XXXIII-B3, Amsterdam, 2000, pp. 85–92

3. M. Bro-Nielson, Detecting buildings in aerial images, Technical report, Institute of Mathematical Statistics and Operations Research, Technical University of Denmark, 1992

4. A computational approach to edge detection;Canny;IEEE Trans. Pattern Anal. Machine Intell.,1986

5. R. Chellapa, L. Davis, C. Lin, T. Morsse, C. Rodriguez, A. Rosenfeld, X. Zhang, and Q. Zheng, Site-model-based monitoring of aerial images, in: IEEE Conf. on Computer Vision and Pattern Recognition, New York, 1994, pp. 694–699

Cited by 35 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. Strategies in training deep learning models to extract building from multisource images with small training sample sizes;International Journal of Digital Earth;2023-05-09

2. A new approach to derive buildings footprint from light detection and ranging data using rule-based learning techniques and decision tree;Measurement;2022-03

3. Automatic Positional Accuracy Assessment of Imagery Segmentation Processes: A Case Study;ISPRS International Journal of Geo-Information;2021-06-23

4. Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation;Remote Sensing;2020-07-26

5. A Learning Approach to Evaluate the Quality of 3D City Models;Photogrammetric Engineering & Remote Sensing;2019-12-01