Detecting changes in high-resolution satellite coastal imagery using an image object detection approach-Reference-Cited by-同舟云学术

Detecting changes in high-resolution satellite coastal imagery using an image object detection approach

Published:2013-01-04 Issue:7 Volume:34 Page:2454-2469
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Jianyu¹,Mao Zhihua¹,Philpot Bill²,Li Jonathan³,Pan Delu¹

Affiliation:

1. a State Key Laboratory of Satellite Ocean Environment Dynamics , Second Institute of Oceanography, State Oceanic Administration , Hangzhou , 310012 , PR , China

2. b School of Civil and Environmental Engineering , Cornell University , Ithaca , NY , 14853 , USA

3. c Department of Geography and Environmental Management , University of Waterloo , Waterloo , ON , Canada , N2L 3G1

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2012.743691

Reference32 articles.

1. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

2. Object-Oriented Representation of Environmental Phenomena: Is Everything Best Represented as an Object?

3. Object based image analysis for remote sensing

Cited by 19 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. Adaptive Spatial and Difference Learning for Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

2. TCIANet: Transformer-Based Context Information Aggregation Network for Remote Sensing Image Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

3. Extraction and Classification of the Supervised Coastal Objects Based on HSRIs and a Novel Lightweight Fully Connected Spatial Dropout Network;Wireless Communications and Mobile Computing;2022-08-12

4. Boundary Extraction Constrained Siamese Network for Remote Sensing Image Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2022

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