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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...
ReVision: Automated Classification, Analysis and Redesign of Chart Images
Visualization chart understanding information extraction redesign computer vision
2016/5/24
Poorly designed charts are prevalent in reports, magazines,
books and on the Web. Most of these charts are only available
as bitmap images; without access to the underlying data it is
prohibitively...
SEMI-AUTOMATED CLASSIFICATION OF URBAN AREAS BY MEANS OF HIGH RESOLUTION RADAR DATA
High Resolution SAR Urban Areas Detection Contextual Analysis Texture Automation
2015/7/29
Almost two thirds of the world’s population will live in cities by 2030. Thus, human settlements typify the most dynamic regions on
earth. To cope with this development urban planning and management...
LAND COVER CATEGORY DEFINITION BY IMAGE INVARIANTS FOR AUTOMATED CLASSIFICATION
Automation Classification Remote Sensing Land use/Land cover Global change
2015/2/4
The definition of conventional land cover categories (legend) is usually formulated by statements which describe a land
cover category by criteria derived from an interdisciplinary approach. Such a s...
Revisiting the Hubble sequence in the SDSS DR7 spectroscopic sample: a publicly available bayesian automated classification
Cosmology and Extragalactic Astrophysics (astro-ph.CO) Instrumentation and Methods for Astrophysics (astro-ph.IM)
2011/1/5
We present an automated morphological classification in 4 types (E,S0,Sab,Scd) of ~700.000 galaxies from the SDSS DR7 spectroscopic sample based on support vector machines. The main new property of th...
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
automated classification fluorescence microscope images location proteomics
2009/12/23
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a fullunderstanding of its function. Fluorescence microscopy, in combination with methods for fluore...
AUTOMATED CLASSIFICATION OF SUBCELLULAR PATTERNS IN MULTICELL IMAGES WITHOUT SEGMENTATION INTO SINGLE CELLS
AUTOMATED CLASSIFICATION OF SUBCELLULAR PATTERNS MULTICELL IMAGES
2009/12/23
Fluorescence microscope images capture information from
an entire field of view, which often comprises several cells
scattered on the slide. We have previously trained
classifiers to accurately pre...
Automated Classification of Cerebral Arteries in MRA Images
Magnetic resonance angiography Maximum intensity projection (MIP) Cerebral arteries Image registration Computer-aided diagnosis
2009/6/5
The detection of unruptured aneurysms is a major task in magnetic resonance angiography (MRA). However, it is difficult for radiologists and/or neurosurgeons to detect small aneurysms on maximum inten...
Automated Classification of QRS Complexes for Holter Electrocardiogram Using Two Layered SOM
Holter Electrocardiogram SOM QRS classification
2009/6/2
Holter electrocardiogram has spread with medical institutions widely to be able to detect transient arrhythmia and ischemia. It is necessary to be analyzed automatically, because of a large quantity o...