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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。
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...
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 ...