a fast method for removing the aerosols effects form modis images

نویسندگان

یوسف رضائی

محمدرضا مباشری

چکیده

due to the effect of aerosols present in the atmosphere on the satellite images, the study of the effect of local aerosols distribution on the satellite images is important. on the other hand, the study shows that the effect of aerosols on the greenhouse gases and consequently on climate is also undeniable and as a result, this puts more emphasize on the necessity of this study. lack of information about modality of distribution of the aerosols in the atmosphere, brings uncertainties in the extraction of decent information from satellite images. different methods of aerosol retrieval over the ocean have been deployed using avhrr/noaa image products. over the continent, however due to the fact that the surface albedo is generally unknown and varies with time and wavelength, nothing much has so far been done and what is done is for desert dusts only. some retrieval algorithms are developed based on the assumption of low reflectance of vegetation canopies in the blue and red portion of the electromagnetic spectra. also few algorithms have been developed for multi-temporal studies based on constant surface reflectance. application of all of these algorithms is tedious and very time consuming. on the other hand we need to extract decent information on a real time basis and this arises the need for an algorithm that can be performed as fast as possible and this was the objective of this study. the algorithm used for aerosol detection in this study is innovated using a combination of aerosol information model and optical thickness parameter calculated using visible and ir bands. in this study using optical thickness which is a measure of the amount of aerosols in the atmosphere, a fast method for relative correction of the satellite images is presented. in this method, surface reflectance in mir is calculated from which, dark pixels are determined. using surface reflectance of these dark pixels in red and blue, optical thicknesses are estimated. finally using these calculated optical thicknesses, the effects of atmospheric aerosols has been removed from satellite imageries. the results show that in visible bands of modis where the effect of aerosols are more serious, the computed optical thickness can be used to estimate the effect of aerosols and help to eliminate its effects from images.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Method for Removing the Moire' Pattern from Images

During the last decades, denoising methods have attracted much attention of researchers. The conventional method for removing the Moire' pattern from images is using notch filters in the Frequency-domain. In this paper a new method is proposed that can achieve a better performance in comparison with the traditional method. Median filter is used in some part of spectrum of noisy images to reduce...

متن کامل

Using MODIS data for nonlinear hazard analysis of the Middle East aerosols

Aerosols are among the most important of atmospheric pollutants observed like the microscopic particulate matter in the lower parts of the troposphere. The main purpose of this study is introducing a new method based on satellite images processing results and nonlinear analysis (fractal based) to investigate the origin and dynamical mechanism of aerosols distribution in North Africa and the Mid...

متن کامل

An Enhanced Median Filter for Removing Noise from MR Images

In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...

متن کامل

Removing Weather Effects from Monochrome Images

Images of outdoor scenes captured in bad weather suffer from poor contrast. Under bad weather conditions, the light reaching a camera is severely scattered by the atmosphere. The resulting decay in contrast varies across the scene and is exponential in the depths of scene points. Therefore, traditional space invariant image processing techniques are not sufficient to remove weather effects from...

متن کامل

A FAST GA-BASED METHOD FOR SOLVING TRUSS OPTIMIZATION PROBLEMS

Due to the complex structural issues and increasing number of design variables, a rather fast optimization algorithm to lead to a global swift convergence history without multiple attempts may be of major concern. Genetic Algorithm (GA) includes random numerical technique that is inspired by nature and is used to solve optimization problems. In this study, a novel GA method based on self-a...

متن کامل

A New Method for Eye Detection in Color Images

The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
نشریه دانشکده فنی

جلد ۴۲، شماره ۳، صفحات ۰-۰

کلمات کلیدی
due to the effect of aerosols present in the atmosphere on the satellite images the study of the effect of local aerosols distribution on the satellite images is important. on the other hand the study shows that the effect of aerosols on the greenhouse gases and consequently on climate is also undeniable and as a result this puts more emphasize on the necessity of this study. lack of information about modality of distribution of the aerosols in the atmosphere brings uncertainties in the extraction of decent information from satellite images. different methods of aerosol retrieval over the ocean have been deployed using avhrr/noaa image products. over the continent however due to the fact that the surface albedo is generally unknown and varies with time and wavelength nothing much has so far been done and what is done is for desert dusts only. some retrieval algorithms are developed based on the assumption of low reflectance of vegetation canopies in the blue and red portion of the electromagnetic spectra. also few algorithms have been developed for multi temporal studies based on constant surface reflectance. application of all of these algorithms is tedious and very time consuming. on the other hand we need to extract decent information on a real time basis and this arises the need for an algorithm that can be performed as fast as possible and this was the objective of this study. the algorithm used for aerosol detection in this study is innovated using a combination of aerosol information model and optical thickness parameter calculated using visible and ir bands. in this study using optical thickness which is a measure of the amount of aerosols in the atmosphere a fast method for relative correction of the satellite images is presented. in this method surface reflectance in mir is calculated from which dark pixels are determined. using surface reflectance of these dark pixels in red and blue optical thicknesses are estimated. finally using these calculated optical thicknesses the effects of atmospheric aerosols has been removed from satellite imageries. the results show that in visible bands of modis where the effect of aerosols are more serious the computed optical thickness can be used to estimate the effect of aerosols and help to eliminate its effects from images.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023