Feature extraction for hyperspectral imagery: The evolution from shallow to deep: Overview and toolbox
Hyperspectral images (HSIs) provide detailed spectral information through hundreds of
(narrow) spectral channels (also known as dimensionality or bands), which can be used to …
(narrow) spectral channels (also known as dimensionality or bands), which can be used to …
Cancer diagnosis using deep learning: a bibliographic review
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …
steps of cancer diagnosis followed by the typical classification methods used by doctors …
Advances in spectral-spatial classification of hyperspectral images
Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …
this paper. Several techniques are investigated for combining both spatial and spectral …
Feature selection based on neighborhood discrimination index
Feature selection is viewed as an important preprocessing step for pattern recognition,
machine learning, and data mining. Neighborhood is one of the most important concepts in …
machine learning, and data mining. Neighborhood is one of the most important concepts in …
Statistical pattern recognition: A review
The primary goal of pattern recognition is supervised or unsupervised classification. Among
the various frameworks in which pattern recognition has been traditionally formulated, the …
the various frameworks in which pattern recognition has been traditionally formulated, the …
Classification of hyperspectral remote sensing images with support vector machines
F Melgani, L Bruzzone - IEEE Transactions on geoscience and …, 2004 - ieeexplore.ieee.org
This paper addresses the problem of the classification of hyperspectral remote sensing
images by support vector machines (SVMs). First, we propose a theoretical discussion and …
images by support vector machines (SVMs). First, we propose a theoretical discussion and …
Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms
A Masood, AA Al-Jumaily - International journal of biomedical …, 2013 - Wiley Online Library
Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …
and early detection of malignant melanoma. We review the state of the art in these systems …
[图书][B] Hyperspectral imaging: techniques for spectral detection and classification
CI Chang - 2003 - books.google.com
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth
of the research conducted over the years in the Remote Sensing Signal and Image …
of the research conducted over the years in the Remote Sensing Signal and Image …
Classification of hyperspectral data from urban areas based on extended morphological profiles
JA Benediktsson, JA Palmason… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Classification of hyperspectral data with high spatial resolution from urban areas is
investigated. A method based on mathematical morphology for preprocessing of the …
investigated. A method based on mathematical morphology for preprocessing of the …
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
A method is proposed for the classification of urban hyperspectral data with high spatial
resolution. The approach is an extension of previous approaches and uses both the spatial …
resolution. The approach is an extension of previous approaches and uses both the spatial …