MF-SRCDNet: Multi-feature fusion super-resolution building change detection framework for multi-sensor high-resolution remote sensing imagery-Reference-Cited by-同舟云学术

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MF-SRCDNet: Multi-feature fusion super-resolution building change detection framework for multi-sensor high-resolution remote sensing imagery

Published:2023-05 Issue: Volume:119 Page:103303
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Li Shaochun,Wang Yanjun,Cai Hengfan,Lin Yunhao,Wang Mengjie,Teng Fei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference34 articles.

1. Change detection techniques for remote sensing applications: a survey;Asokan;Earth Sci. Inf.,2019

2. An optimized faster R-CNN method based on DRNet and RoI align for building detection in remote sensing images;Bai;Remote Sens.,2020

3. An improved res-unet model for tree species classification using airborne high-resolution images;Cao;Remote Sens.,2020

4. A spatial-temporal attention-based method and a new dataset for remote sensing image change detection;Chen;Remote Sens.,2020

5. A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images;Cheng;ISPRS J. Photogramm. Remote Sens.,2021

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1. Pre-trained regional models for extracting buildings from high resolution satellite imagery to support public health initiatives;Remote Sensing Applications: Society and Environment;2024-11

2. DMF2Net: Dynamic multi-level feature fusion network for heterogeneous remote sensing image change detection;Knowledge-Based Systems;2024-09

3. Change detection on multi-sensor imagery using mixed interleaved group convolutional network;Engineering Applications of Artificial Intelligence;2024-07

4. UrbanSegNet: An urban meshes semantic segmentation network using diffusion perceptron and vertex spatial attention;International Journal of Applied Earth Observation and Geoinformation;2024-05

5. HSAA-CD: A Hierarchical Semantic Aggregation Mechanism and Attention Module for Non-Agricultural Change Detection in Cultivated Land;Remote Sensing;2024-04-13

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