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Found 4 papers, 1 papers with code
Towards Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping
These differences are stacked with the original pre- and post-event images and passed to an OCC trained on a small sample from the targeted change class.
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
We propose to extract relational pixel information captured by domain-specific affinity matrices at the input and use this to enforce alignment of the code spaces and reduce the impact of change pixels on the learning objective.
Unsupervised Image Regression for Heterogeneous Change Detection
First, our method quantifies the similarity of affinity matrices computed from co-located image patches in the two images.
Remote sensing image regression for heterogeneous change detection
In this paper we propose a framework, based on image regression, to perform change detection in heterogeneous multitemporal satellite images, which has become a main topic in remote sensing.
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