Papers by M. J. Valadan Zoej
ارتقاء دقت ارزيابي مساحت سطوح زير کشت اراضي زراعي به کمک روش تجزيه اختلاط طيفي
Land subsidence is caused by human activities in many countries all over the world. Ground water ... more Land subsidence is caused by human activities in many countries all over the world. Ground water withdrawal is one of the most important factors of land subsidence formation that can cause extremely expensive damages to buildings, road and pipelines. A necessary step to perform a proper analysis of the land subsidence is to obtain accurate measurements of the actual amount
The International Archives of the …, 2008
... To correct this image for atmospheric effects the FLAASH program built in ENVI software along... more ... To correct this image for atmospheric effects the FLAASH program built in ENVI software along with the necessary synoptic parameters was used. This correction was applied to the converted DN to physical quantities such as radiance. The Hyperion image in hand was in Level ...
As confirmed by many scientists, atmosphere has intensive contaminative role on Interferometric S... more As confirmed by many scientists, atmosphere has intensive contaminative role on Interferometric Synthetic Aperture Radar (InSAR) measurements. Atmospheric parameters, always influence radar's phase but the intensity of the atmospheric errors on interferograms depend on the difference of the parameters' values. In this paper, some calibration methods will be considered in order to reduce the errors in some scenes acquired in 2005 from Mashhad in North East of Iran which is a semi mountainous area. Therefore, model estimations and data acquiring processes were determined to sustain the climate's requirements. Since we have used Advanced synthetic aperture Radar (ASAR) data for interferometry purpose, MERIS seemed to be an appropriate data source due to the exact similarity of the acquisition times of MERIS and ASAR. As water vapor products which derived from optical Spaceborn sensors are significantly sensitive to the clouds, a cloud mask algorithm was issued and an int...
American-Eurasian Journal of …, 2007
... analysis of the spectral features and recognition of those Corresponding Author: Dr. Mohammad... more ... analysis of the spectral features and recognition of those Corresponding Author: Dr. Mohammad Reza Mobasheri, KNToosi University of Technology ... For instance the chlorophyll pigments absorb violet, blue and red but green, so most of vegetation has green appearance. ...
Environmental Hazards, 2009
Malaria outbreaks affect nearly 40 per cent of the earth's populatio... more Malaria outbreaks affect nearly 40 per cent of the earth's population, most of whom live in tropical and subtropical zones. Malaria is an infectious disease that is transferred by the female mosquito of the species Anopheles. The life cycle of the malaria parasite develops in the anopheline and in the human body. These parasites require suitable environmental conditions in order
IEEE Geoscience and Remote Sensing Letters, 2000
Common endmember extraction algorithms presume that the number of materials present is either kno... more Common endmember extraction algorithms presume that the number of materials present is either known or may be predetermined by using spectral databases or other approaches. In this letter, we propose a new method called genetic orthogonal projection (GOP) for endmember extraction in imaging spectrometry. GOP is based on a fully unsupervised approach and uses convex geometric characteristics as well as
… in Geodesy and …
... [4] Ramon, F Satellite radar interferometry for deformation monitoring , ELSEVIER, Remte Se... more ... [4] Ramon, F Satellite radar interferometry for deformation monitoring , ELSEVIER, Remte Sensing of Environment 6(2005) 253 ... 2. Mohammad javad Valadan Zoej Associate Professor Faculty of Geodesy & Geomatics Engineering KN Toosi University of Technology (KNTU) ...
Atmosphere is one of the main error sources of InSAR (Interferometric Synthetic Aperture Radar) i... more Atmosphere is one of the main error sources of InSAR (Interferometric Synthetic Aperture Radar) images. Among the various atmospheric parameters, water vapor has the most influential effects on the Radar phase measurements due to its high frequency changes. Gravity wave is a special phenomenon which causes local fluctuations in atmospheric parameters. Atmospheric conditions instability and specially, changes in the atmospheric
IEEE Geoscience and Remote Sensing Letters, 2000
In this letter, since these methods are able to process signals locally, two spatial frequency an... more In this letter, since these methods are able to process signals locally, two spatial frequency analyses including windowed Fourier transform and wavelet transform are used to reduce synthetic aperture radar interferometric phase noise.
Réseau routier, logique floue, algorithme génétique, séismes, dégâts.
Receiving accurate and comprehensive knowledge about the conditions of roads after earthquake str... more Receiving accurate and comprehensive knowledge about the conditions of roads after earthquake strike are crucial in finding optimal paths and coordinating rescue missions. Continuous coverage of the disaster region and rapid access of high-resolution satellite images make this technology as a useful and powerful resource for post-earthquake damage assessment and the evaluation process. Along with this improved technology, object-oriented classification has become a promising alternative for classifying high-resolution remote sensing imagery, such as QuickBird, Ikonos. Thus, in this study, a novel approach is proposed for the automatic detection and assessment of damaged roads in urban areas based on object based classification techniques using post-event satellite image and vector map. The most challenging phase of the proposed region-based algorithm is the segmentation procedure. The extracted regions are then classified using nearest neighbor classifier making use of textural parameters. Then, an appropriate fuzzy inference system (FIS) is proposed for road damage assessment. Finally, the roads are correctly labeled as 'Blocked road' or 'Unblocked road' in the road damage assessment step. The proposed method was tested on QuickBird pan-sharpened image of Bam, Iran, concerning the devastating earthquake that occurred in December 2003. The visual investigation of the obtained results demonstrates the efficiency of the proposed approach.
Image and Signal Processing for Remote Sensing XVI, 2010
In this article, the possibility of using artificial neural networks for road detection from high... more In this article, the possibility of using artificial neural networks for road detection from high resolution satellite images is tested on a part of RGB Ikonos and Quick-Bird images from Kish Island and Bushehr Harbour respectively. Then, the effects of different input parameters on network's ability are verified to find out optimum input vector for this problem. A variety of network structures with different iteration times are used to determine the best network structure and termination condition in training stage. It was discovered when the input parameters are made up of spectral information and distances of pixels to road mean vector in a 3*3 window, network's ability in both road and background detection can be improved in comparison with simple networks that just use spectral information of a single pixel in their input vector.
Computers and Geosciences, Apr 1, 2006
Spatial data and related technologies have proven to be crucial for effective collaborative decis... more Spatial data and related technologies have proven to be crucial for effective collaborative decision-making in disaster management. However, there are currently substantial problems with availability, access and usage of reliable, up-to-date and accurate data for disaster management. This is a very important aspect to disaster response as timely, up-to-date and accurate spatial data describing the current situation is paramount to successfully responding to an emergency. This includes information about available resources, access to roads and damaged areas, required resources and required disaster response operations that should be available and accessible for use in a short period of time. Any problem or delay in data collection, access, usage and dissemination has negative impacts on the quality of decision-making and hence the quality of disaster response. Therefore, it is necessary to utilize appropriate frameworks and technologies to resolve current spatial data problems for disaster management. This paper aims to address the role of Spatial Data Infrastructure (SDI) as a framework for the development of a web-based system as a tool for facilitating disaster management by resolving current problems with spatial data. It is argued that the design and implementation of an SDI model and consideration of SDI development factors and issues, together with development of a web-based GIS, can assist disaster management agencies to improve the quality of their decision-making and increase efficiency and effectiveness in all levels of disaster management activities. The paper is based on an ongoing research project on the development of an SDI conceptual model and a prototype web-based system which can facilitate sharing, access and usage of spatial data in disaster management, particularly disaster response.
Http Dx Doi Org 10 5589 M07 055, Jun 2, 2014
Nowadays, due to improvements in satellite technology, remote sensing data is applied for mapping... more Nowadays, due to improvements in satellite technology, remote sensing data is applied for mapping at different scales. In Iran, there is a necessity to utilize satellite imagery as a complementary data source to aerial photographs. One of the main reasons for this, aside from the usual advantages of this technology, is the ability to map and revise border areas having
International Journal of Applied Earth Observation and Geoinformation, 2007
In this article, the possibility of using artificial neural networks for road detection from high... more In this article, the possibility of using artificial neural networks for road detection from high resolution satellite images is tested on a part of RGB Ikonos and Quick-Bird images from Kish Island and Bushehr Harbour respectively. Then, the effects of different input parameters on network's ability are verified to find out optimum input vector for this problem. A variety of network structures with different iteration times are used to determine the best network structure and termination condition in training stage. It was discovered when the input parameters are made up of spectral information and distances of pixels to road mean vector in a 3*3 window, network's ability in both road and background detection can be improved in comparison with simple networks that just use spectral information of a single pixel in their input vector.
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-... more In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of road detection and road vectorization. Neural networks are applied on high resolution IKONOS and Quick-Bird images for road detection. This paper has endeavoured to optimize neural networks' functionality, using a
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Papers by M. J. Valadan Zoej