Image Mosaic Based on Pixel Subtle Variations

2018 ◽  
pp. 70-79
Author(s):  
Siqi Deng ◽  
Xiaofeng Shi ◽  
Xiaoyan Luo
Keyword(s):  
Image Mosaic

Design of Rapid Image Mosaic Based on CUDA by 100-Megapixel Optical System

2020 ◽  
Author(s):  
Zhaoxin Tang ◽  
Yuan Tian ◽  
Zhennan Wang ◽  
Mingfei Xu ◽  
Yingying Wang ◽  
...  
Keyword(s):  
Optical System ◽  
Image Mosaic

Image-only Real-time Incremental UAV Image Mosaic for Multi-strip Flight

2020 ◽  
pp. 1-1
Author(s):  
Fangbing Zhang ◽  
Tao Yang ◽  
Linfeng Liu ◽  
Bang Liang ◽  
Yi Bai ◽  
...  
Keyword(s):  
Real Time ◽  
Image Mosaic ◽  
Uav Image

Improved image mosaic method of ScanSAR

2010 ◽  
Author(s):  
Wang Hongyan ◽  
Jia Xin
Keyword(s):  
Image Mosaic

Research on Workpiece Image Mosaic Technology of Groove Cutting Robot

2021 ◽  
Author(s):  
Hui-Hui Chu ◽  
Bin Xue ◽  
Ning Li
Keyword(s):  
Image Mosaic ◽  
Groove Cutting

scholarly journals Change detection and building spatial geodatabase for Iraqi marshes

2018 ◽  
Vol 162 ◽  
pp. 03021
Author(s):  
Oday Jasim ◽  
Noor Hamed ◽  
Tamarra Abdulgabar
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Satellite Images ◽  
The Other ◽  
Image Mosaic ◽  
Economic Potential ◽  
Second Stage ◽  
Area Of Interest ◽  
Natural Factors ◽  
Three Stages

The Iraqi Marshlands has natural and economic potential through its environment rich in various forms of lives. This region has suffered numerous setbacks due to human and natural factors, especially in the last two decades of the last century, which led to significant environmental degradation. The purpose of this paper is to prepare spatial data for the area of the marshes in Iraq as a base (Hour-al Hoveizah and central marshes and Hammar). Also, the other aim is to produce a digital geodatabase for the marshes for the years 1973, 1986, 1999, 2006 and 2016 by using ArcGIS. The process of building geodatabase has been through done in three stages: the first stage is including data collection. The second stage will be by merging the satellite images covering the Iraqi marshes and add to images in order to get the image mosaic process. Also, a georeferencing of satellite images is to be done with all the traditional maps of the same area of the marsh. Finally, complete the full geodatabase for the area of interest by using ArcGIS as the in Cartography Design. The results of this research would be a geodatabase for the Iraqi marshes.

Multi-image mosaic with SIFT and vision measurement for microscale structures processed by femtosecond laser

2018 ◽  
Vol 100 ◽  
pp. 124-130 ◽  
Author(s):  
Fu-Bin Wang ◽  
Paul Tu ◽  
Chen Wu ◽  
Lei Chen ◽  
Ding Feng
Keyword(s):  
Femtosecond Laser ◽  
Image Mosaic ◽  
Vision Measurement

Error Analysis and Compensation in Images Stitching for the Mechanically Stitched CCD Aerial Cameras

2019 ◽  
Vol 33 (09) ◽  
pp. 1955012
Author(s):  
Haipeng Kuang ◽  
Lina Zheng ◽  
Guoqin Yuan ◽  
Jianjun Sun ◽  
Zhuang Zhang
Keyword(s):  
Attitude Change ◽  
Correction Method ◽  
Monte Carlo Algorithm ◽  
Image Motion ◽  
Image Mosaic ◽  
Geometric Correction ◽  
Ccd Imaging ◽  
Imaging Model ◽  
Orientation System ◽  
Relationship Of

Image misalignment during image stitching is a common issue for the mechanically stitched CCDs in the aerial cameras due to the relative image motion between CCDs. In this paper, we analyze the error in imaging stitching for the mechanically stitched CCDs and propose a compensation method based on position and orientation system (POS). First, the imaging relationship of overlapping pixels in mechanical stitching is analyzed. The imaging model of adjacent CCD is constructed according to the collinear equation. The effects of stitching staggered distance, carrier attitude change and flight speed on the image mosaic of overlapping areas are given. Monte Carlo algorithm is used to analyze the statistical value of image mosaic error in overlapping area under typical working conditions. Then, a geometric correction method based on POS recording of external orientation elements of adjacent CCD imaging is proposed. The overlapping area stitching error is reduced from 14.9 pixels to 0.4 pixels which meets the engineering requirements. The mechanical stitching mathematical model, analysis and correction method established in this paper have strong engineering and application significance for mechanical stitching of aerial cameras.

Remote Sensing Image Mosaic Algorithm

2012 ◽  
Vol 500 ◽  
pp. 716-721
Author(s):  
Yi Ding Wang ◽  
Shuai Qin
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Hot Spot ◽  
Remote Sensing Image ◽  
Processing Algorithm ◽  
Geometric Features ◽  
Image Mosaic ◽  
Post Processing ◽  
Remote Sensing Images ◽  
Image Pixels

In the field of remote sensing, the acquirement of higher resolution of remote sensing images has become a hot spot issue with widely use of high resolution of remote sensing images. This paper focus on the characteristics of high resolution remote sensing images, on the basis of fully considerate of the correlation between geometric features and image pixels, bring forward a fusion of image mosaic processing algorithm. With this algorithm, the surface features can be well preserved after the processing of mosaic the remote sensing images, and the overlapping area can transit naturally, it will be better for the post-processing, analysis and application.

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