DEBRIS-COVERED GLACIERS MAPPING BASED ON MACHINE LEARNING AND MULTI-SOURCE SATELLITE IMAGES OVER EASTERN PAMIR

Debris-covered glaciers mapping based on machine learning and multi-source satellite images over Eastern Pamir

Debris-covered glaciers present significant challenges for accurately mapping and monitoring glacier dynamics, particularly in regions like the Eastern Pamir Plateau.This study shows a new hybrid ensemble classifier that uses random forest and decision tree algorithms to make mapping debris-covered glaciers more accurate using data from multiple sa

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Weak and Maneuvering Target Detection with Long Observation Time Based on Segment Fusion for Narrowband Radar

Detecting high-speed and maneuvering targets is challenging in early warning radar applications.Modern early warning radar has many functions such as detection, tracking, imaging, and recognition which need a high signal-to-noise ratio (SNR).Thus, long-time coherent integration is a necessary method to realize high SNR requirements.However, high-sp

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