Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image

Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image

Small and dim target detection is a critical challenge in hyperspectral remote sensing, particularly in complex, large-scale scenes where spectral variability across diverse land cover types complicates the detection process. In this paper, we propose a novel target reasoning algorithm named Adaptiv...

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Bibliographic Details
Main Authors: Siyu Zhan, Yuxuan Yang, Muge Zhong, Guoming Lu, Xinyu Zhou
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
small target detection
hyperspectral imagery (HSI)
deep learning
prior knowledge in knowledge graph (KG)
nested network
Online Access:https://www.mdpi.com/2072-4292/17/6/948
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