The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion Jul 2018 by M. Schmitt & L. H. Hughes & X. X. Zhu (一) 关键词 合成孔径雷达(SAR)、光学遥感(optical remote sensing)、哨兵一号、哨兵二号、深度学习、数据融合 0. 摘要 虽然在许多技术领域,深度学习爆发了一波影响力,但是在遥感...
from optical images. As a large open SAR-optical dataset with multiple scenes of a high resolution, we believe QXS-SAROPT will be of potential value for further research in SAR-optical data fusion technology based on deep learning. The QXS-SAROPT Dataset for Deep Learning in SAR-Optical ...
THE SEN1-2 DATASET FOR DEEP LEARNING IN SAR-OPTICAL DATA FUSIONM. Schmitt 1 , L. H. Hughes 1 , X. X. Zhu 1,21 Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany - (m.schmitt,lloyd.hughes)@tum.de2 Remote Sensing Technology Institute (IMF),...
Results suggest that out of the three fusion approaches, only infrared image fusion (IVF) approach performed well with the considered dataset in terms of fusion indicators and classification accuracy. Keeping in view of its better performance, this study proposes a modified IVF approach by using ...
The WHU-OPT-SAR dataset contains 100 optical images of 5556*3704 pixels and SAR images in the same area, covering an area of about 50000 square kilometers in Hubei Province (30°N-33°N, 108°E-117°E), China, as shown in Figure 1. This area has a subtropical monsoon climate, wit...
Abstract: An object-based approach is proposed for land cover classification using optimal polarimetric parameters. The ability to identify targets is effectively enhanced by the integration of SAR and optical images. The innovat...
MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification 来源:International Journal of Applied Earth Observations and Geoinformation 本文提出了一种利用光学和SAR影像进行土地利用分类的语义分割算法(MCANet),并发布了一个包含成对光学和SAR影像的地物分类数据集(WHU-...
Nodes with standard deviation (STDV) larger than 10 m are removed from the dataset as they are suspected to be not related to the tectonic signal, or poorly reliable due to high signal to noise ratio. At the end of the post-processing we get 10313 surface nodes for S1 correlograms (...
A passive sensor, using optical systems, records electromagnetic waves emitted by the sun and reflected from the ground surface. An active sensor, used by SAR systems, functions as both the source and the receiver. This means the sensor transmits the electromagnetic waves and also records the ...
目前公开发表的舰船数据集,例如SSDD (SAR Ship Detection Dataset)[14],SAR-Ship-Dataset[15],AIR-SARShip-1.0[16]和HR4S高分辨率SAR船只样本集[17]多用于高分辨率下舰船目标检测。FuSARship[18]是在126景高分三号图像上构建的高分辨率GF-3 SAR数据集,其分辨率为1.5 m,可用于舰船和海洋目标检测和识别。上海交...