Hasan Hasani Moghaddam Articles List

List of Articles Hasan Hasani Moghaddam

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1 - Spectral distortion-based flood detection in multi-temporal images fusion techniques
حسن حسنی مقدم Mohammad Javad Nateghi

In changes detection process, the choice of information extraction method plays an important role in the quality of final changes detecting. In this study, Landsat 8 multi-temporal data fusion method based on spectral distortion was used to detect changes and to determi More

In changes detection process, the choice of information extraction method plays an important role in the quality of final changes detecting. In this study, Landsat 8 multi-temporal data fusion method based on spectral distortion was used to detect changes and to determine the range of floods. For this reason, both pre and post flood images were fused using the Gram Schmitt algorithm to increase spatial resolution of images. In the following, three algorithms, Gram Schmitt, IHS, PCA, were used to detect changes and determine the extent of flood. In this study, input of each algorithm was pre-flooded as a multicolor image and post-flood infrared image as a panchromatic image selected to determine the extent of flood using the spectral distortion generated in each algorithm. The results showed that the capability of data fusion method based on spectral distortion is very high in detecting of changes. The spectral distortion generated in IHS is the most accurate distortion and the output of this algorithm is highly consistent with the reference data. Also, the output of the Gram Schmitt algorithm has spectral distortions in the unchanged regions. The PCA algorithm, which is highly sensitive to inputs, distorts most image regions, which is not recommended for detecting changes based on spectral distortion. Manuscript profile
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2 - Designing and development of a solar radiation system for atmospheric correction of satellite images
حسن حسنی مقدم Omid Coupanian Abbas Bashri Hamid Reza Khodadadi

Applying atmospheric corrections in order to reduce the attenuation effects of the atmosphere on the quality and accuracy of the recorded data, requires a comprehensive knowledge of the conditions, characteristics, and behavior of the atmosphere as the sensor passes thr More

Applying atmospheric corrections in order to reduce the attenuation effects of the atmosphere on the quality and accuracy of the recorded data, requires a comprehensive knowledge of the conditions, characteristics, and behavior of the atmosphere as the sensor passes through the target coordinates. Nowadays, many equipment's, models and algorithms are used to study the components of the atmosphere. For this reason, in this research, a native solar radiation system was designed and built to calculate the optical depth of air aerosol. In order to simulate and investigate the effects of changes in each atmospheric component, the MODTRAN model was used in PCModWin environment. In this electro-optical system, at two wavelengths of 450 and 550 nm, due to the absorption range of the air aerosol, in two different days in terms of the amount of pollutants in the atmosphere, intense data were recorded. In order to ensure the uniformity and linearity of the response of the designed electro-optical system to measure changes in the intensity of sunlight, radiometric calibration of this system was performed. Using atmospheric models, from the recorded intensity data, the optical depth of the weather and the horizontal atmospheric metrics were calculated. In order to verify and evaluate the performance of the designed system, optical depth data obtained from MODIS (Aqua) sensor and horizontal exponential data of Mehrabad Airport meteorological station were used. The results of the accuracy evaluation showed that the calculation of the optical depth by the system designed and the MODIS sensor (Aqua) both shows a number of 0.5 in the passing hour of the satellite. The results also show a good correlation between the horizontal visibility calculated in this study and the data obtained from the reference meteorological station. Manuscript profile
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3 - Fusion of Hyperspectral and High resolution imagery based on different level of HAAR DWT.
Hasan Hasani Moghaddam Ali Asghrar Torahi Parviz zeaiean

Image fusion is the process of integrating the information from a set of images in an image, as the fused image contains more useful information than any input data. The aim of remotely sensed image fusion is integration of information that obtained from sensors with di More

Image fusion is the process of integrating the information from a set of images in an image, as the fused image contains more useful information than any input data. The aim of remotely sensed image fusion is integration of information that obtained from sensors with different spatial, spectral and temporal resolution in order to get an image with more detail than any individual data. In the fusion process, output image is a combination of important features of two or more input data. The aim of this study was to evaluate the performance of discrete wavelet transform in fusion of hyperspectral and high resolution images. For this purpose, a window of images of Hyperion, ALI and OrbView3 sensors was selected. First, the Hyperion image was corrected for unusable bands and strip noise. Panchromatic band of ALI sensor was used for geometric correction and registration of hyperion image. The hyperion image transformed into a 10 m pixel image using the sampling operation and fused with the ALI image using the Gram-Schmit algorithm. Using the OrbView3 image, the results was captured on the fused image, then both images were converted to 4-pixel pixel size using the resampling operation. The OrbView3 image was decomposed into four levels using a HAAR wavelet and used for fusion procedure. The results showed that with increased level of image decomposition, the accuracy and precision of the integration increases. Manuscript profile
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4 - Presenting a method to discover vehicle tracks in multi-time SAR images as a strategic capability in dealing with criminals and terrorist groups in border areas.
Hasan Hasani Moghaddam Abbas Bashri Masoud Ardini

Border areas are considered as one of the most important security bottlenecks of any country. Continuous surveillance and monitoring of these areas is one of the main priorities of the border guard forces and one of the main components of ensuring the security of these More

Border areas are considered as one of the most important security bottlenecks of any country. Continuous surveillance and monitoring of these areas is one of the main priorities of the border guard forces and one of the main components of ensuring the security of these areas. With the advancements in space and aerial imaging technologies, border monitoring operations have been done more quickly and accurately. Iran is known as one of the risky border countries due to the extent of border lines and the presence of numerous terrorist groups around its borders that identifying and eliminating these potential and actual risks requires intelligence elites regarding threatening events in these areas. Based on the needs of the border guards in order to identify the passage routes of criminals and terrorist groups, in this research, a method to detect and identify the tracks of vehicles using multi-time SAR images has been presented. First, the used images were modified in terms of the required pre-processing and the errors of SAR images, and in the next step, using phase information and the Coherence Change Detection (CCD) algorithm, the track of the vehicle was identified in the images. In order to evaluate the capability of the proposed method, the usual methods of detecting changes were also applied to the images. The results of the research show the high capability of the proposed method in identifying unauthorized border crossing corridors. The results of this research can be used as one of the components of security at the borders of the country. Manuscript profile

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List of Articles Hasan Hasani Moghaddam