Study on Local to Global Radiometric Balance for Remotely Sensed Imagery
Due to the difference of factors, such as lighting conditions, shooting environments, and time, there is compound brightness difference between adjacent images, which includes local brightness difference and radiometric difference. This paper proposed a method to eliminate the compound brightness di...
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doaj-e5a7f07b8f2f4c1491cbf1641dcecd712021-06-01T00:59:08ZengMDPI AGRemote Sensing2072-42922021-05-01132068206810.3390/rs13112068Study on Local to Global Radiometric Balance for Remotely Sensed ImageryXiaofan Liu0Guoqing Zhou1Wuming Zhang2Shezhou Luo3Bo Wen College of Management, Guilin University of Technology, Guilin 541004, ChinaGuangXi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Guangzhou 510060, ChinaCollege of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaDue to the difference of factors, such as lighting conditions, shooting environments, and time, there is compound brightness difference between adjacent images, which includes local brightness difference and radiometric difference. This paper proposed a method to eliminate the compound brightness difference of adjacent images after mosaicking, named local to global radiometric balance. It includes the brightness compensation model and brightness approach model. Firstly, the weighted average value of each row and column of image are calculated to express the brightness change; secondly, according to weighted average value, the brightness compensation model is built; thirdly, combined with the blocking method, the brightness compensation model is applied to image. Based on the value after above process, the brightness approach model is established to make the gray value of adjacent images approach to the mosaic line. In the paper, the standard deviation, MSE (mean square error) and mean value are used as the measure indices of the effect of brightness balance. The three groups of experimental results show that compared with the brightness stretch method, the histogram equalization method and the radiometric balance method, the local to global radiometric balance method not only realizes compound brightness balance, but also has better visual effects than others.https://www.mdpi.com/2072-4292/13/11/2068compound brightness differencebrightness compensation modelbrightness approach modelblocking methodbrightness balance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaofan Liu Guoqing Zhou Wuming Zhang Shezhou Luo |
spellingShingle |
Xiaofan Liu Guoqing Zhou Wuming Zhang Shezhou Luo Study on Local to Global Radiometric Balance for Remotely Sensed Imagery Remote Sensing compound brightness difference brightness compensation model brightness approach model blocking method brightness balance |
author_facet |
Xiaofan Liu Guoqing Zhou Wuming Zhang Shezhou Luo |
author_sort |
Xiaofan Liu |
title |
Study on Local to Global Radiometric Balance for Remotely Sensed Imagery |
title_short |
Study on Local to Global Radiometric Balance for Remotely Sensed Imagery |
title_full |
Study on Local to Global Radiometric Balance for Remotely Sensed Imagery |
title_fullStr |
Study on Local to Global Radiometric Balance for Remotely Sensed Imagery |
title_full_unstemmed |
Study on Local to Global Radiometric Balance for Remotely Sensed Imagery |
title_sort |
study on local to global radiometric balance for remotely sensed imagery |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-05-01 |
description |
Due to the difference of factors, such as lighting conditions, shooting environments, and time, there is compound brightness difference between adjacent images, which includes local brightness difference and radiometric difference. This paper proposed a method to eliminate the compound brightness difference of adjacent images after mosaicking, named local to global radiometric balance. It includes the brightness compensation model and brightness approach model. Firstly, the weighted average value of each row and column of image are calculated to express the brightness change; secondly, according to weighted average value, the brightness compensation model is built; thirdly, combined with the blocking method, the brightness compensation model is applied to image. Based on the value after above process, the brightness approach model is established to make the gray value of adjacent images approach to the mosaic line. In the paper, the standard deviation, MSE (mean square error) and mean value are used as the measure indices of the effect of brightness balance. The three groups of experimental results show that compared with the brightness stretch method, the histogram equalization method and the radiometric balance method, the local to global radiometric balance method not only realizes compound brightness balance, but also has better visual effects than others. |
topic |
compound brightness difference brightness compensation model brightness approach model blocking method brightness balance |
url |
https://www.mdpi.com/2072-4292/13/11/2068 |
work_keys_str_mv |
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