114 citations · 276 across the 15 of their papers we have counts for
7 papers · 1 filter
LAMES: A Large-Scale and Artisanal Mining Environmental Segmentation Dataset
Matthias Kahl, Zhaiyu Chen, Sudipan Saha +3
Mining operations are of utmost importance to the economy of some nations. However, such operations result in land-use change, very high energy consumption, and negative impacts on…
Segment Using Just One Example
Pratik Vora, Sudipan Saha
Semantic segmentation is an important topic in computer vision with many relevant application in Earth observation. While supervised methods exist, the constraints of limited annot…
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images
Lukas Kondmann, Aysim Toker, Sudipan Saha +3
Detecting changes on the ground in multitemporal Earth observation data is one of the key problems in remote sensing. In this paper, we introduce Sibling Regression for Optical Cha…
Reiterative Domain Aware Multi-Target Adaptation
Sudipan Saha, Shan Zhao, Nasrullah Sheikh +1
Most domain adaptation methods focus on single-source-single-target adaptation settings. Multi-target domain adaptation is a powerful extension in which a single classifier is lear…
Segmentation of VHR EO Images using Unsupervised Learning
Sudipan Saha, Lichao Mou, Muhammad Shahzad +1
Semantic segmentation is a crucial step in many Earth observation tasks. Large quantity of pixel-level annotation is required to train deep networks for semantic segmentation. Eart…
Generative modeling of spatio-temporal weather patterns with extreme event conditioning
Konstantin Klemmer, Sudipan Saha, Matthias Kahl +2
Deep generative models are increasingly used to gain insights in the geospatial data domain, e.g., for climate data. However, most existing approaches work with temporal snapshots…
Self-Supervised Multisensor Change Detection
Sudipan Saha, Patrick Ebel, Xiao Xiang Zhu
Most change detection methods assume that pre-change and post-change images are acquired by the same sensor. However, in many real-life scenarios, e.g., natural disaster, it is mor…