Datasets:

cuibinge
/

Multimodal-Sea-Land

@@ -27,6 +27,10 @@ The Optical images were acquired from the Sentinel-2 satellite.
 The SAR images were acquired from the Sentinel-1 satellite. Specifically, the Interferometric Wide Swath (IW) mode with a pixel size of 10 meters was used, incorporating both Vertical-Vertical (VV) and Vertical-Horizontal (VH) polarizations.The Sentinel-1 data underwent preprocessing in SNAP software, including orbit correction, thermal noise removal, radiometric calibration, and terrain correction. Finally, the data were resampled to a resolution of 10 m × 10 m to align with the selected Sentinel-2 spectral bands.
 ---
 <table>
 <tr>
 <th>Property</th>
@@ -56,15 +60,6 @@ The SAR images were acquired from the Sentinel-1 satellite. Specifically, the In
 <td colspan=2>1286</td>
 </table>
-## Dataset Specifications
-| Property             | Optical iamge                           | SAR iamge                           |
-|----------------------|-----------------------------------------|-------------------------------------|
-| Source               | Sentinel-2 satellite                    |Sentinel-1 Satellite                 |
-| Spectral Bands       | Red, Green, Blue, and Near-Infrared     |VV, VH                               |
-| Spatial Resolution   |                                   10 meters                                   |
-| Image Patch Size     |                                  224 × 224 pixels                             |
-| Total Image Pairs    |                                     1286                                      |
 ---
@@ -90,43 +85,23 @@ The dataset is organized into paired folders for image patches and corresponding
 │ └── ...
 └── README.md
 ```
-- Each sample consists of a pair of images (`images_A` and `images_B`) representing two different timepoints.
-- The corresponding binary change map is stored in the `labels` directory.
-- Image and label files are matched by filename: e.g., `1_1_1.png` in `A/`, `B/`, and `labels/` belong to the same sample.
-- The samples folder contains thumbnail versions of the complete georeferenced remote sensing images used for patch sampling. These are downscaled bitemporal Landsat-8 images covering the glacier regions.
 ---
 ## Labels
 The label files are binary masks:
-- Pixel value `0`: no change
-- Pixel value `1`: glacier change
 ---
-## Sample Images
-**Southeastern Coast of Greenland**
-![Greenland Sample A](samples/greenland_A.png)
-*Sample from 2015*
-![Greenland Sample B](samples/greenland_B.png)
-*Sample from 2023*
-**Svalbard Archipelago**
-![Svalbard Sample A](samples/svalbard_A.png)
-*Sample from 2015*
-![Svalbard Sample B](samples/svalbard_B.png)
-*Sample from 2020*
----
-## Potential Applications
 - Glacier dynamics monitoring
 - Polar environmental change detection
@@ -134,22 +109,22 @@ The label files are binary masks:
 - Time-series remote sensing research
 - Climate-related environmental studies
----
-## Dataset Access
 The complete dataset is publicly available on GitHub:
 👉 [https://github.com/cuibinge/Glacier-Dataset](https://github.com/cuibinge/Glacier-Dataset)
----
-## Citation
 If you use this dataset in your research, please cite:
 **VPGCD-Net: A Visual Prompt Driven Network for Glacier Change Detection in Remote Sensing Imagery**. Zhishen Shi, Bing'e Cui, et al. *IEEE Geoscience and Remote Sensing Letters*, 2025.
----
 ## Contact

 The SAR images were acquired from the Sentinel-1 satellite. Specifically, the Interferometric Wide Swath (IW) mode with a pixel size of 10 meters was used, incorporating both Vertical-Vertical (VV) and Vertical-Horizontal (VH) polarizations.The Sentinel-1 data underwent preprocessing in SNAP software, including orbit correction, thermal noise removal, radiometric calibration, and terrain correction. Finally, the data were resampled to a resolution of 10 m × 10 m to align with the selected Sentinel-2 spectral bands.
 ---
+## Dataset Specifications
 <table>
 <tr>
 <th>Property</th>
 <td colspan=2>1286</td>
 </table>
 ---
 │ └── ...
 └── README.md
 ```
+- Each sample consists of three images: one optical image and two SAR images. For example, the optical image is stored as ‘opts/1_1.tif’, and the corresponding SAR images are ‘sars/1_1_0.tif’ and ‘sars/1_1_1.tif’, representing the VV and VH polarization channels, respectively.
+- The corresponding sea-land segmentation map is stored in the `lbls` directory.
 ---
 ## Labels
 The label files are binary masks:
+- Pixel value `0`: land
+- Pixel value `1`: sea
 ---
+<!-- ## Potential Applications
 - Glacier dynamics monitoring
 - Polar environmental change detection
 - Time-series remote sensing research
 - Climate-related environmental studies
+--- -->
+<!-- ## Dataset Access
 The complete dataset is publicly available on GitHub:
 👉 [https://github.com/cuibinge/Glacier-Dataset](https://github.com/cuibinge/Glacier-Dataset)
+--- -->
+<!-- ## Citation
 If you use this dataset in your research, please cite:
 **VPGCD-Net: A Visual Prompt Driven Network for Glacier Change Detection in Remote Sensing Imagery**. Zhishen Shi, Bing'e Cui, et al. *IEEE Geoscience and Remote Sensing Letters*, 2025.
+--- -->
 ## Contact