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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Structure-Preserving Spectral Method for Large-Scale MHD System Simulation
MHD 系统仿真 保结构谱
2023/11/6
Structure-preserving numerical methods are crucial for achieving long-time accurate, stable, consistent and physically meaningful simulations. In this talk, we present H^1 and H(div) conforming spectr...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Geometry and recovery of spectral-sparse signals
频谱稀疏信号 几何 恢复
2023/4/26
Spectral-sparse signals are those sparse in the Fourier domain and are very common in wireless communications, radar, sonar, medical imaging and other applications. Their recovery from noisy, limited ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：The spectral collocation method for the nonlocal problem with weak singularity
弱奇点 非局部问题 光谱搭配
2023/5/6
介绍求解一维弱奇异非局部扩散问题的谱配位法，建立了相应的Gauss-Jacobi 积分公式，并将其推广至高维非局部问题的谱配置点法，相关的理论与实验检验了算法的精度和渐进相容性。
浙江大学光电科学与工程学院郝翔课题组论文《Spectral Imaging with Deep Learning》发表于《Light：Science & Applications》封面（图）
光谱成像 光学滤光片 光谱编码
2023/3/10
2022年6月17日，浙江大学光电科学与工程学院郝翔课题组综述文章《Spectral imaging with deep learning》发表于《Light:Science&Applications》杂志第六期封面。该研究回顾了光谱成像技术应用深度学习的最新进展，对基于深度学习的光谱成像技术进行了梳理。研究对深度学习光谱成像的各种技术路线进行了原理阐述、研究总结，并整理了当前的光谱成像数据集、概...
PAN SHARPENING USING RELATIVE SPECTRAL RESPONSE OF SENSOR FOR CARTOSAT-1 PAN AND RESOURCESAT LISS-4 MX DATA
PAN sharpening Relative Spectral response (RSR) Curvelet transform Spectral distortion Spectral fidelity
2019/2/28
Most of the Indian remote sensing systems, provide sensors with one high spatial resolution panchromatic (PAN) and several multispectral (MS) bands. An increasing number of applications, such as featu...
PURIFICATION OF TRAINING SAMPLES BASED ON SPECTRAL FEATURE AND SUPERPIXEL SEGMENTATION
Beijing-2 Satellite imagery Training Samples Purification Spectral Feature Superpixel Segmentation
2018/5/14
Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on...
AUTOMATIC REGISTRATION OF GF4 PMS: A HIGH RESOLUTION MULTI-SPECTRAL SENSOR ON BOARD A SATELLITE ON GEOSTATIONARY ORBIT
GF4 PMS Automatic Image Registration Optimal Base Band RPC Correction Spatial Resolution
2018/5/14
Geometric correction is an important preprocessing process in the application of GF4 PMS image. The method of geometric correction that is based on the manual selection of geometric control points is ...
VARIABILITY OF REMOTE SENSING SPECTRAL INDICES IN BOREAL LAKE BASINS
Water quality Optically complex waters Remote sensing Hyperspectral imaging Spectral indices
2018/6/4
Remotely sensed hyperspectral data has widely been used to determine water quality parameters in oceanic waters. However in freshwater basins the dependence between the hyperspectral data and the para...
APPLICATION OF SOFTMAX REGRESSION AND ITS VALIDATION FOR SPECTRAL-BASED LAND COVER MAPPING
Softmax Regression Classification Land Cover Multispectral Hyperspectral Desktop Enterprise
2017/7/13
The presented Softmax Regression classifier is a generalization of logistic regression. It is used for multi-class classification, where classes are mutually exclusive. Implemented in a classification...
SPECTRAL RECONSTRUCTION BASED ON SVM FOR CROSS CALIBRATION
Hyperspectral sensing Spectral reconstruction non-linear Cross calibration
2017/7/12
Chinese HY-1C/1D satellites will use a 5nm/10nm-resolutional visible-near infrared(VNIR) hyperspectral sensor with the solar calibrator to cross-calibrate with other sensors. The hyperspectral radianc...
MAPPING ROBINIA PSEUDOACACIA FOREST HEALTH CONDITIONS BY USING COMBINED SPECTRAL,SPATIAL AND TEXTUREAL INFORMATION EXTRACTED FROM IKONOS IMAGERY
GLCM Getis statistic random forest forest health condition Robinia pseudoacacia
2016/12/1
In this study grey-level co-occurrence matrix (GLCM) textures and a local statistical analysis Getis statistic (Gi), computed from IKONOS multispectral (MS) imagery acquired from the Yellow River Delt...
AUTOMATED CLASSIFICATION OF LAND COVER USING LANDSAT 8 OLI SURFACE REFLECTANCE PRODUCT AND SPECTRAL PATTERN ANALYSIS CONCEPT-CASE STUDY IN HANOI,VIETNAM
Land cover Landsat 8 surface reflectance pattern analysis automated classification
2016/12/1
Recently USGS released provisional Landsat 8 Surface Reflectance product, which allows conducting land cover mapping over large composed of number of image scenes without necessity of atmospheric corr...
CHARACTERIZATION AND SPECTRAL MONITORING OF COFFEE LANDS IN BRAZIL
Coffee vegetation index NDVI NDWI environmental characterization
2016/11/30
In Brazil, coffee production has great economic and social importance. Despite this fact, there is still a shortage of information regarding its spatial distribution, crop management and environment. ...
GEOLOGICAL MAPPING BY COMBINING SPECTRAL UNMIXING AND CLUSTER ANALYSIS FOR HYPERSPECTRAL DATA
Geology Mineral Unmixing Cluster Analysis Hyperspectral Cuprite
2016/11/30
Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
A NOVEL INDEX FOR ATMOSPHERIC AEROSOL TYPES CATEGORIZATION WITH SPECTRAL OPTICAL DEPTHS FROM SATELLITE RETRIEVAL
AOD SSA Aerosol Type NGAI MODIS AERONET
2016/11/30
In general, the type of atmospheric aerosols can be efficiently identified with the characteristics of optical properties, such as Ångström exponent (AE) and single scattering albedo (SSA). ...