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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep leaning-based hyperspectral image classification
深度倾斜 高光谱 图像分类
2023/5/4
In this talk, we will introduce some hyperspectral image classification methods based on deep learning architecture. Recently, deep learning-based hyperspectral image classification has attracted more...
A HYPERSPECTRAL IMAGE CLASSIFICATION METHOD USING ISOMAP AND RVM
Hyperspectral Image Classification Manifold Learning Isometric Feature Mapping Support Vector Machines Relevance Vector Machines
2018/5/11
Classification is one of the most significant applications of hyperspectral image processing and even remote sensing. Though various algorithms have been proposed to implement and improve this applica...
A GAMMA-CONVERGENCE APPLIED TO MULTISPECTRAL IMAGE CLASSIFICATION AND RESTORATION
Image Classification Image Restoration Multispectral satellite image Remote Sensing
2015/7/30
The main objective of this paper is to develop a model which combines in the same process image classification and restoration.
Image classification consists of assigning a label to each site of an ...
SUPERVISED AND UNSUPERVISED NEURAL MODELS FOR MULTISPECTRAL IMAGE CLASSIFICATION
Land Cover Classification Identification Algorithms Artificial_Intelligence Imagery Pixel Multispectral
2015/7/29
Competitive learning neural networks have been successfully used as unsupervised training methods. It provides a way to discover the
salient general features that can be used to classify a set of pa...
IMAGE CLASSIFICATION WITH A REGION BASED APPROACH IN HIGH SPATIAL RESOLUTION IMAGERY
Image segments classification object-oriented approach
2015/6/1
A number of studies have been carried out to find an appropriate spatial resolution to which to aggregate data in order
to reduce the variation within an object, and minimize the classification erro...
SYNERGETICS FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Synergetics hyperspectral image image classification
2014/4/24
In this paper a new classification technique for hyperspectral data based on synergetics theory is presented. Synergetics – originally introduced by the physicist H. Haken – is an interdisciplinary th...
SPECTRAL REGRESSION DISCRIMINANT ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Dimensionality reduction Hyperspectral image classification manifold learning Eigen-decomposition Spectral regression discriminant analysis Embedding function
2014/4/28
Dimensionality reduction algorithms, which aim to select a small set of efficient and discriminant features, have attracted great attention for Hyperspectral Image Classification. The manifold learnin...