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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...
COUPLE GRAPH BASED LABEL PROPAGATION METHOD FOR HYPERSPECTRAL REMOTE SENSING DATA CLASSIFICATION
Graph Label Propagation Semi-Supervised method Classification Hyperspectral Remote Sensing
2018/5/15
Graph based semi-supervised classification method are widely used for hyperspectral image classification. We present a couple graph based label propagation method, which contains both the adjacency gr...
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...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
USABILITY OF A SUNLIT - SHADED AREA SEPARATION IN INDIVIDUAL TREE SPECIES CLASSIFICATION
Aerial Classification Forestry Fusion Imagery Multispectral
2016/2/29
Individual tree species classification can be done using Light Detection and Ranging (LIDAR) and aerial multichannel images
simultaneously. LIDAR is typically used to derive shape features and aeria...
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...
MULTISPECTRAL LANDSAT IMAGES CLASSIFICATION USING A DATA CLUSTERING ALGORITHM
Multispectral Image Classification Networks Fuzzy Logic
2015/7/29
This paper presents a new application of a data-clustering algorithm in Landsat image classification, which improves on
conventional classification methods. Neural networks have been widely used in ...
CLASSIFICATION OF VEGETATION AND SOIL USING IMAGING SPECTROMETER DATA
Remote Sensing Hyper Spectral Land Cover
2015/7/29
Monitoring the Earth using imaging spectrometers has necessitated more accurate analyses and new applications to remote sensing.
New algorithms have been developed for hyperspectral data classificat...
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...
Towards Quantitative Classification of Folded Proteins in Terms of Elementary Functions
Quantitative Classification Elementary Functions
2010/11/17
A comparative classification scheme provides a good basis for several approaches to understand proteins, including prediction of relations between their structure and biological function. However, it...
EVALUATION OF ASTER SPECTRAL BANDS FOR AGRICULTURAL LAND COVER MAPPING USING PIXEL-BASED AND OBJECT-BASED CLASSIFICATION APPROACHES
Agriculture, Land cover Object Segmentation
2015/11/16
The ASTER sensor onboard NASA’s Earth observing satellite Terra is an optical remote sensor comprised of 14 spectral bands ranging
from the visible to thermal infrared region. With its multispectral...