SDCINet: A novel cross-task integration network for segmentation and detection of damaged/changed building targets with optical remote sensing imagery
Authors:
- Haiming ZhangHZHaiming Zhang
- Guorui MaGMGuorui Ma
- Hongyang FanHFHongyang Fan
- Hongyu GongHGHongyu Gong
- Di WangDWDi Wang
- Yongxian ZhangYZYongxian Zhang
- 26 September 2024
- journal article
- research article
- Published by Elsevier in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 218, 422-446
Abstract
No abstract availableKeywords
Funding Information
- Science and Technology Major Project of Guangxi (AA22068072)
This publication has 48 references indexed in Scilit:
- Assisted learning for land use classification: The important role of semantic correlation between heterogeneous imagesISPRS Journal of Photogrammetry and Remote Sensing, 2024
- Multi-stage progressive change detection on high resolution remote sensing imageryISPRS Journal of Photogrammetry and Remote Sensing, 2023
- Blurry dense object extraction based on buffer parsing network for high-resolution satellite remote sensing imageryISPRS Journal of Photogrammetry and Remote Sensing, 2023
- MCHA-Net: A multi-end composite higher-order attention network guided with hierarchical supervised signal for high-resolution remote sensing image change detectionISPRS Journal of Photogrammetry and Remote Sensing, 2023
- Generalized few-shot object detection in remote sensing imagesISPRS Journal of Photogrammetry and Remote Sensing, 2022
- End-to-End Object Detection with Transformers2020
- A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing imagesISPRS Journal of Photogrammetry and Remote Sensing, 2020
- CBAM: Convolutional Block Attention Module2018
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015
- Object detection in remote sensing imagery using a discriminatively trained mixture modelISPRS Journal of Photogrammetry and Remote Sensing, 2013