Search Results - "Hasanlou, M."
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A COMPARATIVE STUDY OF MACHINE LEARNING CLASSIFIERS FOR CROP TYPE MAPPING USING VEGETATION INDICES
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (01-01-2023)“…Timely and accurate mapping of crops is crucial for agriculture management, policy-making, and food security. Due to the differences in the product calendars…”
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FULL POLARIMETRIC TIME SERIES IMAGE ANALYSIS FOR CROP TYPE MAPPING
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (01-01-2023)“…Crop information and quality are not only fundamental for experts using spatial decision support systems but also have many applications in irrigation…”
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A COMPARISON OF TREE-BASED REGRESSION MODELS FOR SOIL MOISTURE ESTIMATION USING SAR DATA
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (01-01-2023)“…Soil moisture content plays a pivotal role in biomass development of vegetation coverage at various growth stages. Moisture content of the soil is considered…”
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BINARY HYPERSPECTRAL CHANGE DETECTION BASED ON 3D CONVOLUTION DEEP LEARNING
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (22-08-2020)“…Timely and accurate change detection of Earth’s surface features is extremely important for understanding relationships and interactions between human and…”
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HARMFUL ALGAL BLOOMS MONITORING USING SENTINEL-2 SATELLITE IMAGES
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (18-10-2019)“…Over the last few decades in coastal areas, the occurrence of Harmful Algal Blooms (HAB) has increased. The phenomenon is harmful to the health of coastal…”
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RAPID AUTOMATIC DETECTION OF COVID-19 IN CHEST CT IMAGES USING VGG-16 AND TRANSFER LEARNING
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (01-01-2023)“…This paper presents a deep learning approach for swift detection of COVID-19 in chest CT scan images in order to facilitate treatment planning and reduce the…”
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A COMPARISON STUDY OF DIFFERENT KERNEL FUNCTIONS FOR SVM-BASED CLASSIFICATION OF MULTI-TEMPORAL POLARIMETRY SAR DATA
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (01-01-2014)“…In this paper, a framework is developed based on Support Vector Machines (SVM) for crop classification using polarimetric features extracted from…”
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ASSESSING AND COMPARING THE PERFORMANCE OF ENDMEMBER EXTRACTION METHODS IN MULTIPLE CHANGE DETECTION USING HYPERSPECTRAL DATA
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (18-10-2019)“…Endmember extraction is a process to identify the hidden pure source signals from the mixture. Endmember finding has become increasingly important in…”
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ESTIMATING WATER LEVEL IN THE URMIA LAKE USING SATELLITE DATA: A MACHINE LEARNING APPROACH
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (18-10-2019)“…Lakes play a pivotal role in the development of cities and have major impacts on the ecosystem balancing of the area. Remote sensing techniques and advanced…”
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SHORELINE EXTRACTION USING TIME SERIES OF SENTINEL-2 SATELLITE IMAGES BY GOOGLE EARTH ENGINE PLATFORM
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (01-01-2023)“…In recent decades, global warming and sea level rise, population growth, and intensification of human activities, have directly affected the coasts and as…”
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CLASSIFIER FUSION OF POLSAR, HYPERSPECTRAL AND PAN REMOTE SENSING DATA FOR IMPROVING LAND USE CLASSIFICATION
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (19-10-2019)“…The combined use of PolSAR and hyperspectral data can improve the classification accuracy. This paper proposes a new classification approach for combining use…”
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RICE CROP MAPPING USING SENTINEL-1 TIME SERIES IMAGES (CASE STUDY: MAZANDARAN, IRAN)
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (19-10-2019)“…Policymaking and planning agricultural improvement require accurate and timely information and statistics. In Iran, collecting and acquiring agricultural…”
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INVESTIGATING OF FOREST CHANGE IN GOLESTAN PROVINCE USING LANDSAT IMAGE
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (19-10-2019)“…In recent years, forests in the north of the country have been attacked due to human interference. Increasing population and development of residential and…”
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TREND ANALYSIS OF SOIL SALINITY IN DIFFERENT LAND COVER TYPES USING LANDSAT TIME SERIES DATA (CASE STUDY BAKHTEGAN SALT LAKE)
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (27-09-2017)“…Soil salinity is one of the main causes of desertification and land degradation which has negative impacts on soil fertility and crop productivity. Monitoring…”
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AIR POLLUTION ESTIMATION USING AEROSOL OPTICAL THICKNESS BY OLI IMAGES IN TEHRAN
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (18-10-2019)“…Air pollution is one of the main problems in human and environmental health in big cities and in developing countries. The precise monitoring and predicting of…”
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A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (17-06-2021)“…Soil salinity, a significant environmental indicator, is considered one of the leading causes of land degradation, especially in arid and semi-arid regions. In…”
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AUTOMATIC ROAD CRACK RECOGNITION BASED ON DEEP LEARNING NETWORKS FROM UAV IMAGERY
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (01-01-2023)“…Roads are one of the essential transportation infrastructures that get damaged over time and affect economic development and social activities. Therefore,…”
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INVESTIGATING AND MODELLING EFFECTS OF CLIMATICALLY AND HYDROLOGICALLY INDICATORS ON THE URMIA LAKE COASTLINE CHANGES USING TIME SERIES ANALYSIS
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (26-09-2017)“…Study of hydrological parameters of lakes and examine the variation of water level to operate management on water resources are important. The purpose of this…”
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UAV PHOTOGRAMMETRY: A PRACTICAL SOLUTION FOR CHALLENGING MAPPING PROJECTS
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (01-01-2015)“…We have observed huge attentions to application of unmanned aerial vehicle (UAV) in aerial mapping since a decade ago. Though, it has several advantages for…”
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BUILDING FLOOR PLAN RECONSTRUCTION FROM SLAM-BASED POINT CLOUD USING RANSAC ALGORITHM
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (18-10-2019)“…In recent years, the applications of interior and exterior model of buildings have been increased in the field of surveying and mapping. This paper presents a…”
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