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Found 5 papers, 3 papers with code
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information
In this study, we try to re-interpret these generative methods for image restoration tasks using information theory.
Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector
Oil spill detection has attracted increasing attention in recent years since marine oil spill accidents severely affect environments, natural resources, and the lives of coastal inhabitants.
Fusion of Dual Spatial Information for Hyperspectral Image Classification
In the spatial optimization stage, a pixel-level classifier is used to obtain the class probability followed by an extended random walker-based spatial optimization technique.
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
The advances in feature extraction have been inspired by two fields of research, including the popularization of image and signal processing as well as machine (deep) learning, leading to two types of feature extraction approaches named shallow and deep techniques.
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering
Feature extraction is known to be an effective way in both reducing computational complexity and increasing accuracy of hyperspectral image classification.
