Spectral–Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification
نویسندگان
چکیده
منابع مشابه
Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification
This paper presents an optimized kernel minimum noise fraction transformation (OKMNF) for feature extraction of hyperspectral imagery. The proposed approach is based on the kernel minimum noise fraction (KMNF) transformation, which is a nonlinear dimensionality reduction method. KMNF can map the original data into a higher dimensional feature space and provide a small number of quality features...
متن کاملA Robust Sparse Representation Model for Hyperspectral Image Classification †
Sparse representation has been extensively investigated for hyperspectral image (HSI) classification and led to substantial improvements in the performance over the traditional methods, such as support vector machine (SVM). However, the existing sparsity-based classification methods typically assume Gaussian noise, neglecting the fact that HSIs are often corrupted by different types of noise in...
متن کاملHyperspectral Image Classification Using Graph Clustering Methods
Hyperspectral imagery is a challenging modality due to the dimension of the pixels which can range from hundreds to over a thousand frequencies depending on the sensor. Most methods in the literature reduce the dimension of the data using a method such as principal component analysis, however this procedure can lose information. More recently methods have been developed to address classificatio...
متن کاملAn Investigation of Spectral Metrics in Hyperspectral Image Preprocessing for Classification
The paper investigates the efficiency of spectral metrics when used in spectral screening of hyperspectral imagery. Spectral screening is the technique of selecting from the data a subset of representative spectra that can be used in further processing. The subset is formed such that any two spectra in it are dissimilar and, for any spectrum in the original image cube, there is a similar spectr...
متن کاملHyperspectral Image Classification
Article history: Received 12 October 2014 Received in revised form 26 December 2014 Accepted 1 January 2015 Available online 25 February 2015
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2014
ISSN: 1939-1404,2151-1535
DOI: 10.1109/jstars.2013.2295610