Acito, N.
* 2005: Adaptive detection algorithm for full pixel targets in hyperspectral images
* 2005: Airborne threat detection in Navy IRST systems
* 2005: Experimental Performance Analysis of Clutter Removal Techniques in IR Images
* 2005: Stochastic Mixing Model Approach to Sub-Pixel Target Detection in Hyper-Spectral Images, A
* 2007: Statistical CLEAN Technique for ISAR Imaging
* 2009: New Algorithm for Robust Estimation of the Signal Subspace in Hyperspectral Images in the Presence of Rare Signal Components, A
* 2010: Hyperspectral Signal Subspace Identification in the Presence of Rare Signal Components
* 2011: Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection, An
* 2011: Detection of small changes in airborne hyperspectral imagery: Experimental results over urban areas
* 2011: Signal-Dependent Noise Modeling and Model Parameter Estimation in Hyperspectral Images
* 2011: Subspace-Based Striping Noise Reduction in Hyperspectral Images
* 2013: Complexity-aware algorithm architecture for real-time enhancement of local anomalies in hyperspectral images
* 2013: Hyperspectral Signal Subspace Identification in the Presence of Rare Vectors and Signal-Dependent Noise
* 2013: On the CFAR Property of the RX Algorithm in the Presence of Signal-Dependent Noise in Hyperspectral Images
* 2014: Mitigating the impact of signal-dependent noise on hyperspectral target detection
* 2014: RX architectures for real-time anomaly detection in hyperspectral images
* 2018: Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data Based on Low-Rank Subspace Projection
* 2018: Unsupervised Atmospheric Compensation of Airborne Hyperspectral Images in the VNIR Spectral Range
* 2019: Coupled Subspace-Based Atmospheric Compensation of LWIR Hyperspectral Data
* 2019: Subspace-Based Temperature and Emissivity Separation Algorithms in LWIR Hyperspectral Data
* 2020: CWV-Net: A Deep Neural Network for Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data
* 2021: Atmospheric Compensation of PRISMA Data by Means of a Learning Based Approach
* 2021: Learning-Based Approach for Atmospheric Compensation of VNIR Hyperspectral Data
Includes: Acito, N. Acito, N.[Nicola]
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