https://github.com/PatrickTUM/multimodalCD_ISPRS21

official repository to share data and code of our study "FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION" accepted and published as a full paper at ISPRS Congress 2021
https://github.com/PatrickTUM/multimodalCD_ISPRS21

Last synced: 3 months ago
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official repository to share data and code of our study "FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION" accepted and published as a full paper at ISPRS Congress 2021

• Host: GitHub
• URL: https://github.com/PatrickTUM/multimodalCD_ISPRS21
• Owner: PatrickTUM
• Created: 2021-04-18T13:05:49.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-25T15:32:27.000Z (about 2 years ago)
• Last Synced: 2024-07-22T23:49:21.312Z (4 months ago)
• Language: Python
• Homepage:
• Size: 3.57 MB
• Stars: 80
• Watchers: 1
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-remote-sensing-change-detection - **Multi-modal Supervised Change Detection Data**

README

        
# Fusing Multi-modal Data for Supervised Change Detection

![Paper preview](previews/preview.png)

>

> _Exemplary observations utilized in our multi-modal bi-temporal change detection work. Left: Rows of optical Sentinel-2 data as well as co-registered radar Sentinel-1 data. Each column denotes a different time point, pre- and post change. Right: The associated change map. The Sentinel-2 observations and pixel-wise annotations are by Daudt et al (2018), we curated and provide additional Sentinel-1 SAR data._

----

This repository presents the multi-modal change detection SAR Sentinel-1 data (available [here](https://mediatum.ub.tum.de/1619966), paper [here](https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/243/2021/isprs-archives-XLIII-B3-2021-243-2021.pdf)) utilized in the work of 

> Ebel, Patrick und Saha, Sudipan und Zhu, Xiao Xiang (2021) Fusing Multi-modal Data for Supervised Change Detection. ISPRS. XXIV ISPRS Congress 2021, 04 - 10 July 2021, Nice, France / Virtual.  paper [here](https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/243/2021/isprs-archives-XLIII-B3-2021-243-2021.pdf)

Please also consider the work of

> Daudt, R. C., Le Saux, B., & Boulch, A. (2018, October). Fully convolutional siamese networks for change detection. In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4063-4067). IEEE.

whose original data set we built upon and extended. The original Sentinel-2 observations and pixel-wise annotations are available [here](https://ieee-dataport.org/open-access/oscd-onera-satellite-change-detection). We curated and provide additional Sentinel-1 SAR measurements, co-registered and temporally aligned with the original data in order to provide an opportunity for multi-sensor change detection. You can find the complementary Sentinel-1 SAR data [here](https://mediatum.ub.tum.de/1619966).

### Updates: 

1. Provided code under ``` \code```. Credits: The code builds on Rodrigo's [repository](https://github.com/rcdaudt/fully_convolutional_change_detection) and extends it.

2. You may also be interested in our follow-up publications

> S. Saha, P. Ebel and X. X. Zhu, "Self-Supervised Multisensor Change Detection," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3109957. [url](https://ieeexplore.ieee.org/document/9538396), [code](https://gitlab.lrz.de/ai4eo/cd/tree/main/sarOpticalMultisensorTgrs2021)

and 

> S. Saha, M. Shahzad, P. Ebel and X. X. Zhu, "Supervised Change Detection Using Pre-Change Optical-SAR and Post-Change SAR Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, doi: 10.1109/JSTARS.2022.3206898. [url](https://ieeexplore.ieee.org/document/9901395), [code](https://github.com/sudipansaha/optSarSarCdJstars2022)

  which build on this data set, released with our ISPRS Congress publication.