Least squares subspace projection approach to mixed pixel classification for hyperspectral images

No abstract is available for this paper.

• Publication year

  1998

• Venue

  IEEE Transactions on Geoscience and Remote Sensing

• Publication date

  1998-05-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1109/36.673681
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection

  1997cited by this paper
• On the relationship between spectral unmixing and subspace projection

  1996cited by this paper
• An Introduction to Signal Detection and Estimation

  1994cited by this paper
• Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach

  1994influential reference
• Signal processing applications of oblique projection operators

  1994influential reference
• Feature Extraction Based on Decision Boundaries

  1993cited by this paper
• Spatially invariant image sequences

  1992cited by this paper
• Discriminative learning for minimum error classification [pattern recognition]

  1992cited by this paper
• Terrestrial imaging spectroscopy

  1988cited by this paper
• Separation of soil-plant spectral mixture by factor analysis

  1986cited by this paper
• ROC Methodology in Radiologic Imaging

  1986cited by this paper
• Statistical Signal Processing

  1985cited by this paper
• A semiempirical method for analysis of the reflectance spectra of binary mineral mixtures

  1983cited by this paper
• Evaluation of diagnostic systems : methods from signal detection theory

  1982cited by this paper
• Bidirectional reflectance spectroscopy: 1. Theory

  1981cited by this paper
• Mars - Large scale mixing of bright and dark surface materials and implications for analysis of spectral reflectance

  1979cited by this paper
• Theory of error in factor analysis

  1977cited by this paper
• Determination of the number of factors and the experimental error in a data matrix

  1977cited by this paper
• Pattern classification and scene analysis

  1974cited by this paper

• MODIS-Based Spatiotemporal Inversion and Driving-Factor Analysis of Cloud-Free Vegetation Cover in Xinjiang from 2000 to 2024

  2025cites this paper
• Fast Semisupervised Unmixing Using Nonconvex Optimization

  2024cites this paper
• A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images

  2023cites this paper
• Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package

  2023cites this paper
• Gabor Filter-Based Multi-Scale Dense Network Hyperspectral Remote Sensing Image Classification Technique

  2023cites this paper
• Hyperspectral Target Detection: Hypothesis Testing, Signal-to-Noise Ratio, and Spectral Angle Theories

  2022cites this paper
• Hyperspectral Fusion Using Weighted Nonlocal Vector Total Variation

  2022cites this paper
• Orthogonal Subspace Projection Using Data Sphering and Low-Rank and Sparse Matrix Decomposition for Hyperspectral Target Detection

  2021cites this paper
• Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

  2021cites this paper
• A novel inequality-constrained weighted linear mixture model for endmember variability

  2021cites this paper
• Estimating Fractional Vegetation Cover of Row Crops from High Spatial Resolution Image

  2021cites this paper
• Hierarchical classification of Sentinel 2-a images for land use and land cover mapping and its use for the CORINE system

  2020cites this paper
• Principal Angle Detector for Subspace Signal with Structured Unknown Interference

  2020cites this paper
• A new method to detect targets in hyperspectral images based on principal component analysis

  2020cites this paper
• NPSA: Nonorthogonal Principal Skewness Analysis

  2019cites this paper
• Self-Paced Learning-Based Probability Subspace Projection for Hyperspectral Image Classification

  2019cites this paper
• Group endmember extraction algorithm based on Gram–Schmidt orthogonalization

  2019cites this paper
• Hyperspectral Image Fusion Using Fast High-Dimensional Denoising

  2019cites this paper
• Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field

  2019cites this paper
• Subspace-based multitask learning framework for hyperspectral imagery classification

  2018cites this paper
• Models for Hyperspectral Image Analysis: From Unmixing to Object-Based Classification

  2018cites this paper
• A Piecewise Linear Strategy of Target Detection for Multispectral/Hyperspectral Image

  2018cites this paper
• Band-Specified Virtual Dimensionality for Band Selection: An Orthogonal Subspace Projection Approach

  2018cites this paper
• Improving hyperspectral subpixel target detection using hybrid detection space

  2018cites this paper
• Weighted Kernel-Based Signature Subspace Projection for Hyperspectral Target Detection

  2018cites this paper
• Recursive Hyperspectral Sample Processing of Maximum Likelihood Estimation

  2017cites this paper
• Adaptive Linear Spectral Mixture Analysis

  2017cites this paper
• IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection

  2017cites this paper
• Recursive Hyperspectral Band Processing for Active Target Detection: Constrained Energy Minimization

  2017cites this paper
• A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior

  2017cites this paper
• Knowing the unknowable unknowns: subpixel anomalous source detection in hyperspectral imagery

  2017cites this paper
• Feature data factorization and its application

  2016cites this paper
• Hyperspectral Target Detection

  2016cites this paper
• A non-negative matrix factorization approach for hyperspectral unmixing with partial known endmembers

  2016cites this paper
• Semi-supervised hyperspectral unmixing approach based on nonnegative matrix factorization

  2016cites this paper
• A comprehensive analysis on relevance of four hyperspectral data exploitation methods: LS, OSP, MTMF and MF-FAM

  2016cites this paper
• R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation

  2016cites this paper
• Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model

  2016cites this paper
• Linear Spectral Mixture Analysis

  2016cites this paper
• Multiple Window Anomaly Detection

  2016cites this paper
• Linear Spectral Unmixing With Three Criteria, Least Squares Error, Simplex Volume and Orthogonal Projection

  2016cites this paper
• Sparse methods for hyperspectral unmixing and image fusion

  2015cites this paper
• A Survey on Trends and Techniques used in Hyperspectral Image Processing

  2015cites this paper
• Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation

  2015cites this paper
• Linear Spectral Mixture Analysis via Multiple-Kernel Learning for Hyperspectral Image Classification

  2015cites this paper
• Finding Virtual Signatures for Linear Spectral Mixture Analysis

  2015cites this paper
• Panchromatic image processing using hyperspectral unmixing method

  2015cites this paper
• Uses of WorldView-2 Multispectral Data in Extracting Potential Iron Mineralization Zones

  2015cites this paper
• Progressive Band Processing of Linear Spectral Unmixing for Hyperspectral Imagery

  2015cites this paper
• Reduced near border set for endmember extraction

  2015cites this paper
• A Theory of Recursive Orthogonal Subspace Projection for Hyperspectral Imaging

  2015cites this paper
• Progressive Band Processing of Constrained Energy Minimization for Subpixel Detection

  2015cites this paper
• Nuevas técnicas de clasificación probabilística de imágenes hiperespectrales

  2015cites this paper
• Fast Spectral Unmixing based on Dykstra's Alternating Projection

  2015cites this paper
• Subspace-Based Support Vector Machines for Hyperspectral Image Classification

  2015cites this paper
• Linear spectral unmixing using least squares error, orthogonal projection and simplex volume for hyperspectral images

  2015cites this paper
• Etude du démélange en imagerie hyperspectrale infrarouge

  2014cites this paper
• Spatially adaptive constrained non negative matrix factorization for hyperspectral unmixing

  2014cites this paper
• Mixed Pixel Clustering and Classification Techniques: A Review

  2014cites this paper
• Hyperspectral image fusion by multiplication of spectral constraint and NMF

  2014cites this paper
• Developing Advanced Tools for Processing Hyperspectral Images

  2014cites this paper
• Supervised Learning Independent Component Analysis Algorithms and Applications

  2014cites this paper
• Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation

  2014cites this paper
• Category Decomposition Method Based on Matched Filter for Un-Mixing of Mixed Pixels Acquired with Sp

  2013cites this paper
• Università degli Studi di Padova Facoltà di Ingegneria Corso di laurea magistrale in Ingegneria dell ’ Automazione Dipartimento di Ingegneria dell ’ Informazione Tesi di laurea Improvements to algorithms for hyperspectral linear unmixing based on statistical model

  2013cites this paper
• Label-free in vitro toxicity and uptake assessment of citrate stabilised gold nanoparticles in three cell lines

  2013cites this paper
• Diseño e implementación eficiente de nuevos métodos de preprocesado espacial para desmezclado de imágenes hiperespectrales de la superficie terrestre

  2013cites this paper
• Intra-pixel multispectral processing of magnetic resonance brain images for tissue characterisation

  2013influential citation
• Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images

  2013cites this paper
• Multiple-Window Anomaly Detection for Hyperspectral Imagery

  2013cites this paper
• Multidimensional Pixel Purity Index for Convex Hull Estimation and Endmember Extraction

  2013cites this paper
• Bayesian Fusion of Multi-Band Images

  2013cites this paper
• A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem - Application to spectral mixture analysis

  2013cites this paper
• Category Decomposition Method for Un-Mixing of Mixels Acquired with Spaceborne Based Visible and Near Infrared Radiometers by Means of Maximum Entropy Method with Parameter Estimation Based on Simulated Annealing

  2013cites this paper
• Understanding and Ameliorating Mixed Pixels and Multipath Interference in AMCW Lidar

  2013cites this paper
• Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

  2012cites this paper
• Collinearity and orthogonality of endmembers in linear spectral unmixing

  2012cites this paper
• Context Dependent Spectral Unmixing

  2012cites this paper
• Target Detection Under Misspecified Models in Hyperspectral Images

  2012cites this paper
• Unmixing and Target Recognition in Airborne Hyper-Spectral Images

  2012cites this paper
• Ameliorating Systematic Errors in Full-Field AMCW Lidar

  2012cites this paper
• Anomaly Detection Algorithm Based on Nonsubsampled Pyramid Decomposition and Kernel Unsharp Masking for Hyperspectral Image

  2012cites this paper
• Assimilation of spectral information and temporal history into a statewide woody cover change classification

  2012influential citation
• Hyperspectral Remote Sensing : Dimensional Reduction and End member Extraction

  2012cites this paper
• SVM-Based Unmixing-to-Classification Conversion for Hyperspectral Abundance Quantification

  2011cites this paper
• Comparison of the Noise Robustness of FVC Retrieval Algorithms Based on Linear Mixture Models

  2011cites this paper
• Assessment of noise reduction of hyperspectral imagery using a target detection application

  2011cites this paper
• Mixed-Pixel Decomposition of SAR Images Based on Single-Pixel ICA with Selective Members

  2011cites this paper
• Review on Land Use Classification

  2011cites this paper
• Fully Constrained Least Squares Spectral Unmixing by Simplex Projection

  2011cites this paper
• Unmixing and target recognition in hyperspectral 1 images

  2011cites this paper
• Hyperspectral unmixing using a novel conversion model

  2011cites this paper
• An overview on hyperspectral unmixing: Geometrical, statistical, and sparse regression based approaches

  2011cites this paper
• Hyperspectral Data Mining

  2011cites this paper
• Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery

  2011cites this paper
• Hybrid Detectors Based on Selective Endmembers

  2010cites this paper
• Applications of Kalman Filtering to Single Hyperspectral Signature Analysis

  2010cites this paper
• Multiparameter Receiver Operating Characteristic Analysis for Signal Detection and Classification

  2010cites this paper
• Estimating the Number of Endmembers in Hyperspectral Images Using the Normal Compositional Model and a Hierarchical Bayesian Algorithm

  2010cites this paper
• Progressive band selection for satellite hyperspectral data compression and transmission

  2010cites this paper