26-252 Dense Detection of Rare Events in Remote Sensing Using Generative Models

Mission

Remote sensing (RS) imagery provides a unique opportunity to monitor the Earth and its dynamics, offering continuous and large-scale observations of both environmental and human activities. Detecting extreme events in these data, such as floods, wildfires, or infrastructure damage, is essential for timely response and risk management. Yet, these events typically affect small areas, occur briefly, and often lack reliable annotations, which makes their automatic detection particularly challenging. Automation could improve accuracy and response time from crisis cells, such as CIEST2 (

While these methods have achieved notable success in detecting phenomena such as deforestation or floods, they depend on large labeled datasets that are expensive and often unavailable for rare or unexpected situations. In addition, supervised models tend to generalize poorly to new event types or geographical contexts. These challenges motivate the exploration of unsu...