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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
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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...
COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
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2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
COUPLE GRAPH BASED LABEL PROPAGATION METHOD FOR HYPERSPECTRAL REMOTE SENSING DATA CLASSIFICATION
Graph Label Propagation Semi-Supervised method Classification Hyperspectral Remote Sensing
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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
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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...
FEATURE RELEVANCE ASSESSMENT OF MULTISPECTRAL AIRBORNE LIDAR DATA FOR TREE SPECIES CLASSIFICATION
Multispectral Lidar 3D point clouds Intensity Tree Species Classification Feature Analysis
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2018/5/11
The presented experiment investigates the potential of Multispectral Laser Scanning (MLS) point clouds for single tree species classification. The basic idea is to simulate a MLS sensor by combining t...
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
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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
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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
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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
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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
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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
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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...
IMAGE CLASSIFICATION WITH A REGION BASED APPROACH IN HIGH SPATIAL RESOLUTION IMAGERY
Image segments classification object-oriented approach
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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...
TERRAIN MODELING AND AIRBORNE LASER DATA CLASSIFICATION USING MULTIPLE PASS FILTERING
Multiple Pass Filtering ICM Classifi cation DTM
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2015/6/1
Airborne laser scanner technique provides a 3D perception of the terrestrial topography, including true ground and objects belonging
either to vegetated areas or to human made features. The high intr...
SYNERGETICS FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Synergetics hyperspectral image image classification
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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
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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...