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After more than two years of maintenance and upgrades, the Pixel Tracker has been installed at the centre of the CMS detector and is now ready for commissioning.
Of all the CMS subdetectors, the Pixe...
AN INTEGRATED PHOTOGRAMMETRIC AND PHOTOCLINOMETRIC APPROACH FOR PIXEL-RESOLUTION 3D MODELLING OF LUNAR SURFACE
Moon 3D Modelling Photogrammetry Photoclinometry Image Matching Shape from Shading
2018/5/15
High-resolution 3D modelling of lunar surface is important for lunar scientific research and exploration missions. Photogrammetry is known for 3D mapping and modelling from a pair of stereo images bas...
TOWARDS THE OPTIMAL PIXEL SIZE OF DEM FOR AUTOMATIC MAPPING OF LANDSLIDE AREAS
Landslide landslide mapping DEM resolution Neural Net classification Maximum Likelihood classification
2017/7/12
Determining appropriate spatial resolution of digital elevation model (DEM) is a key step for effective landslide analysis based on remote sensing data. Several studies demonstrated that choosing the ...
PIXEL-BY-PIXEL ESTIMATION OF SCENE MOTION IN VIDEO
video sequence image processing moving object detection tracking recurrent procedures reverse processing
2017/6/19
The paper considers the effectiveness of motion estimation in video using pixel-by-pixel recurrent algorithms. The algorithms use stochastic gradient decent to find inter-frame shifts of all pixels of...
EVALUATION OF RELATIVE GEOMETRIC ACCURACY OF TERRASAR-X BY PIXEL MATCHING METHODOLOGY
Remote sensing SAR Geo-location accuracy Pixel matching
2016/11/24
Recently, high-resolution commercial SAR satellites with several meters of resolutions are widely utilized for various applications and disaster monitoring is one of the commonly applied areas. The in...
COMPARISON OF PIXEL-BASED AND OBJECT-ORIENTED LAND COVER CHANGE DETECTION METHODS
Land Cover Change Detection Pixel-based Segmentation scale Object-oriented 30m resolution
2016/11/23
Change detection method is an efficient way in the aim of land cover product updating on the basis of the existing products, and at the same time saving lots of cost and time. Considering the object-o...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
EFFECT OF PANSHARPENED IMAGE ON SOME OF PIXEL BASED AND OBJECT BASED CLASSIFICATION ACCURACY
Pan Sharpening Decision Tree Maximum Likelihood Support Vector Machine Object Based Classification Sun Flower Corn
2016/11/23
Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is ...
SHAPE AND ALBEDO FROM SHADING (SAfS) FOR PIXEL-LEVEL DEM GENERATION FROM MONOCULAR IMAGES CONSTRAINED BY LOW-RESOLUTION DEM
Moon DEM Shape and Albedo from Shading (SAfS) Monocular Image
2016/11/8
Lunar topographic information, e.g., lunar DEM (Digital Elevation Model), is very important for lunar exploration missions and scientific research. Lunar DEMs are typically generated from photogrammet...
DENOISING ALGORITHM FOR THE PIXEL-RESPONSE NON-UNIFORMITY CORRECTION OF A SCIENTIFIC CMOS UNDER LOW LIGHT CONDITIONS
CMOS Denoising algorithm Pixel-response non-uniformity
2016/7/28
We present a denoising algorithm for the pixel-response non-uniformity correction of a scientific complementary metal–oxide–semiconductor (CMOS) image sensor, which captures images under extremely low...
2D Sub-Pixel Disparity Measurement Using QPEC/Medicis
2D Stereo Matching Sub-pixel Disparity Geometric Calibration QPEC Medicis
2016/7/4
In the frame of its earth observation missions, CNES created a library called QPEC, and one of its launcher called Medicis. QPEC / Medicis is a sub-pixel two-dimensional stereo matching algorithm that...
A NOVEL SUB-PIXEL MATCHING ALGORITHM BASED ON PHASE CORRELATION USING PEAK CALCULATION
Image Matching Phase Correlation Peak Calculation Window Constraint Correlation Coefficient
2016/7/4
The matching accuracy of homonymy points of stereo images is a key point in the development of photogrammetry, which influences the geometrical accuracy of the image products. This paper presents a no...
APPLY EXPLORATION OF NEURALNETWORK AND PUBLIC GREEN IN THE HANDLE OF MIXED PIXEL OF GENETIC BP PROPAGATION ALGORITHM
Images mixed-pixel neural-network Public green genetic BP propagation algorithm
2016/3/17
With the rapid development of RS and more mature and the precision of number of field surveys on the basis of Quick-Bird remote sensing data through visual interpretation of urban public greenvegetati...
MAPPING POST-OLYMPICS URBAN USE CHANGE IN THE PERIPHERY OF ATHENS USING MULTI-TEMPORAL PIXEL-BASED AND SEGMENTATION TECHNIQUES
Urban Use Change Detection Classification Monitoring Landsat Object Oriented Segmentation Multitemporal
2016/1/3
The city of Athens, Greece, was given the go-ahead to host the 2004 Olympic Games in 1996. Considerable land cover/use changes (LUCC), principally conversions to urban land use from other types, assoc...
AUTOMATIC CHANGE DETECTION BASED ON PIXEL-CHANGE AND DSM-CHANGE
Cartography Change Detection Pixel Surface Automation Extraction
2016/1/3
A new algorithm for automatic change detection is presented. It detects a pixel-change and DSM-change from two orthoimages and two DSMs. Pixel-change is detected by using least squares fitting techniq...