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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). ...
EVALUATION OF VARIOUS SPECTRAL INPUTS FOR ESTIMATION OF FOREST BIOCHEMICAL AND STRUCTURAL PROPERTIES FROM AIRBORNE IMAGING SPECTROSCOPY DATA
Airborne imaging spectroscopy DART Chlorophyll content Continuum removal Leaf area index Forest Support vector regression Radiative transfer modelling
2016/11/24
In this study we evaluated various spectral inputs for retrieval of forest chlorophyll content (Cab) and leaf area index (LAI) from high spectral and spatial resolution airborne imaging spectroscopy d...
ON-LINE CHANGE MONITORING WITH TRANSFORMED MULTI-SPECTRAL TIME SERIES,A STUDY CASE IN TROPICAL FOREST
Multi-Spectral BFAST Dimension Reduction Deforestation Monitor
2016/11/24
In recent years, the methods for detecting structural changes in time series have been adapted for forest disturbance monitoring using satellite data. The BFAST (Breaks For Additive Season and Trend) ...
PANSHARPENING ON THE NARROW VNIR AND SWIR SPECTRAL BANDS OF SENTINEL-2
Fusion Benchmark Image quality indexes Validation QNR Q4 UIQI
2016/11/24
In this paper results from the evaluation of several state-of-the-art pansharpening techniques are presented for the VNIR and SWIR bands of Sentinel-2. A procedure for the pansharpening is also propos...
COMPARISON BETWEEN SPECTRAL,SPATIAL AND POLARIMETRIC CLASSIFICATION OF URBAN AND PERIURBAN LANDCOVER USING TEMPORAL SENTINEL–1 IMAGES
Sentinel – 1 Urban Polarimetry Texture Classification Landcover
2016/11/24
Landcover is the easiest detectable indicator of human interventions on land. Urban and peri-urban areas present a complex combination of landcover, which makes classification challenging. This paper ...