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同济大学测绘与地理信息学院王群明教授课题组本科生在遥感领域顶级期刊《Remote Sensing of Environment》发表论文：Blocks-removed spatial unmixing for downscaling MODIS images（图）
同济大学 测绘与地理信息学院 王群明 教授 课题组 遥感领域 顶级期刊
2021/3/18
近日，同济大学测绘与地理信息学院王群明教授课题组在遥感领域顶级期刊《Remote Sensing of Environment》发表了1篇论文。本研究受到国家自然基金项目（41971297）资助。
UNMIXING-BASED DENOISING AS A PRE-PROCESSING STEP FOR CORAL REEF ANALYSIS
Hyperspectral remote sensing Coral Denoising Water Derivative Features Spectral Unmixing
2017/7/12
Coral reefs, among the world’s most biodiverse and productive submerged habitats, have faced several mass bleaching events due to climate change during the past 35 years. In the course of this century...
CUBESAT-DERIVED DETECTION OF SEAGRASSES USING PLANET IMAGERY FOLLOWING UNMIXING-BASED DENOISING: IS SMALL THE NEXT BIG?
Mediterranean seagrass Posidonia oceanica Planet CubeSats Unmixing-based denoising Depth-invariant index Support Vector Machines
2017/7/12
Seagrasses are one of the most productive and widespread yet threatened coastal ecosystems on Earth. Despite their importance, they are declining due to various threats, which are mainly anthropogenic...
PAN-SHARPENING APPROACHES BASED ON UNMIXING OF MULTISPECTRAL REMOTE SENSING IMAGERY
image processing multi-resolution image fusion pan-sharpening quality assessment model based approach remote sensing
2016/11/24
Model based analysis or explicit definition/listing of all models/assumptions used in the derivation of a pan-sharpening method allows us to understand the rationale or properties of existing methods ...
FULLY CONSTRAINED OBLIQUE PROJECTION APPROACH TO MIXED PIXEL LINEAR UNMIXING
Hyperspectral Multispectral Sub-pixel classification Processing Recognition Detection Image
2015/12/31
Mixed pixels, which are inevitable in remote sensing images, often result in a lot of limitations in their applications. A novel approach for mixed pixel's fully constrained unmixing, Fully Constraine...
THE STUDY ON LINEAR MIXED PARCEL UNMIXING FOR CLASSIFICATION
Linear mixed parcel unmxing Linear spectral unmixing Per-parcel classification ISODATA
2015/12/31
Aiming at the disadvantage of hard per-parcel classification which can't solve the difficulty of mixed parcel resulting in the low accuracy, a new method of soft per-parcel classification is presented...
TARGETING LIMESTONE AND BAUXITE DEPOSITS IN SOUTHERN INDIA BY SPECTRAL UNMIXING OF HYPERSPECTRAL IMAGE DATA
Hyperspectral ASTER Spectral unmixing End-member spectra limestone bauxite exploration
2015/12/29
This paper presents a study about the potential of spectral unmixing of hyperspectral satellite image data for targeting and quantification of mineral content in limestone and bauxite rich areas in so...
RESEARCH ON URBAN SURFACE EMISSIVITY BASED ON UNMIXING PIXEL
Remote Sensing Urban Algorithm Infrared Estimation
2015/12/23
Surface emissivity is a measure of inherent efficiency of land surface. It is applied to convert heat energy into radiant energy. In this study, an unmixing pixel based algorithm was proposed to compu...
ANGULAR UNMIXING OF PHOTOSYNTHETIC AND NON-PHOTOSYNTHETIC VEGETATION WITHIN A CONIFEROUS FOREST USING CHRIS-PROBA
Non-Photosynthetic Vegetation spectral unmixing FLIGHT
2015/9/8
Estimating forest variables, such as photosynthetic light use efficiency, from satellite reflectance data requires understanding the
contribution of photosynthetic vegetation (PV) and nonphotosynthet...
USING LINEAR SPECTRAL UNMIXING OF HIGH SPATIAL RESOLUTION AND HYPERSPECTRAL DATA FOR GEOMETRIC-OPTICAL MODELLING
Linear spectral mixing model EO-1 Hyperion QuickBird
2015/9/8
The linear spectral mixing model is a widely used technique in remote sensing to estimate the fractions of several individual surface
components present in an image pixel and the pure reflectance spe...
MULTITEMPORAL UNMIXING OF MERIS FR DATA
time series linear spectral unmixing spectral purity index
2015/9/8
The possibilities of using MERIS full resolution (FR) data to extract sub-pixel land cover composition over The Netherlands are
explored in this paper. More precisely, the use of MERIS FR time series...
Unmixing-based Landsat and MERIS image fusion for land cover mapping over the Netherlands
Linear mixing model spatial unmixing Landsa
2015/8/21
Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having
actual and reliable land cover information is fundamental to stud...
HYPERSPECTRAL PARTIAL UNMIXING TECHNIQUE FOR OIL SPILL TARGET IDENTIFICATION
Hyper-spectral Pollution Imagery Remote sensing Sea Monitoring Detection
2015/7/30
In this study, advanced techniques for oil spill detection and oil spill type identification using hyperspectral AVIRIS data are
presented. Spectrally complex areas are highly dimensional and are co...
Sparse unmixing via variable splitting and augmented Lagrangian for vegetation and urban area classification using Landsat data
Sparse regression spectral unmixing Landsat abundance estimation spectral libraries endmember
2015/7/27
In this paper, we explore the possibility of sparse regression, a new direction in unmixing, for vegetation and urban area classification. SUnSAL (Sparse unmixing via variable splitting and augmented ...
SPATIAL INTERPOLATION AS A TOOL FOR SPECTRAL UNMIXING OF REMOTELY SENSED IMAGES
Land Cover Mapping Analysis Algorithms Image Spectral
2014/4/29
Super resolution-based spectral unmixing (SRSU) is a recently developed method for spectral unmixing of remotely sensed imagery, but it is too complex to implement for common users who are interested ...