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Remote sensing - Data processing

UAV - based imagery processing using Structure from Motion and Remote Sensing technology

UAV - based imagery processing using Structure from Motion and Remote Sensing technology

... the data processing in consequent stages, GPU approaches processing by dividing the workflow in stages and in space - the stages are transferring its outputs between each other (OWENS et ...parallel ...

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A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES

A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES

... In this work, we have proposed a new destriping method for dense striped remote sensing images. The proposed model can not only effectively remove the heavy stripes but also control the whole destriping ...

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ARTIGO_A geostatistical approach for modeling soybean crop area and yield based on census and remote sensing data

ARTIGO_A geostatistical approach for modeling soybean crop area and yield based on census and remote sensing data

... reflectance data include various noise components, such as aerosols and bidirectional reflectance distribution factors; thus, it is necessary to reprocess these data to remove the noise components before ...

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Distributed Processing Of Large Remote Sensing Images Using MapReduce

Distributed Processing Of Large Remote Sensing Images Using MapReduce

... for processing of large datasets on clusters of low-cost commodity computers [Dean and Ghemawat, ...to data to take advantage of data locality; fault-tolerance and reliability through data ...

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EMERGENCY PLANNING IN NORTHERN ALGERIA BASED ON REMOTE SENSING DATA IN RESPECT TO TSUNAMI HAZARD PREPAREDNESS

EMERGENCY PLANNING IN NORTHERN ALGERIA BASED ON REMOTE SENSING DATA IN RESPECT TO TSUNAMI HAZARD PREPAREDNESS

... topographic data were merged with LANDSAT ETM data (Band 8: 15 m ...ETM data digital image processing procedures have been carried ...image processing techniques maps can be generated ...

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Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data

Quantifying the City’s Green Area Potential Gain Using Remote Sensing Data

... multi-sensor data analysis is required in order to produce efficient map-based ...scanning data. Providing users with medium-sized 3D data (high density point clouds over one point per m 2 ) shall ...

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Remote sensing from unmanned aerial vehicles for 3D urban modelling

Remote sensing from unmanned aerial vehicles for 3D urban modelling

... 3D data obtained by UAV for urban analysis, and consequently for the design of urban plans, was made evident in the previous sections although it has some ...hand, data obtained by UAV may support urban ...

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NOISE REMOVAL TECHNIQUES FOR MICROWAVE REMOTE SENSING RADAR DATA AND ITS EVALUATION

NOISE REMOVAL TECHNIQUES FOR MICROWAVE REMOTE SENSING RADAR DATA AND ITS EVALUATION

... Microwave remote sensing, radar data are characterized by a typical noise called speckle, which is multiplicative in ...Such data are not only visually unpleasant, but also unsuitable for ...

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QGIS approach to extract fluvial terraces for archaeological purposes using remote sensing data

QGIS approach to extract fluvial terraces for archaeological purposes using remote sensing data

... The DSM with 30 meters of spatial resolution, 16-bitt in GeoTiff format, was obtained from Advanced Land Observing Satellite (ALOS) World 3D [http://www.eorc.jaxa.jp/ALOS/en/aw3d30/index.htm]. The DSM was resampled to 10 ...

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SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING  DATA USING CONVOLUTIONAL NEURAL NETWORKS

SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING DATA USING CONVOLUTIONAL NEURAL NETWORKS

... optical remote sensing, spatial resolution of images is crucial for numerous ...to remote sensing data. With a huge amount of training data available, end-to-end learning is ...

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Landscape dynamics analysis in Iasi Metropolitan Area (Romania) using remote sensing data

Landscape dynamics analysis in Iasi Metropolitan Area (Romania) using remote sensing data

... The supervised classification was the most complex and important part of the image processing. Four land cover classes were created: BUILT-UP AREAS, FARMLAND, FOREST and WATER. Maximum Likelihood method was ...

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Remote sensing in food production - A review

Remote sensing in food production - A review

... using remote sensing methods (Knipling, ...have data on crop state in a repetitive and updated form. Remote sensing offers, due to the possibility of multitemporal data ...

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Spectral remote sensing for onshore seepage characterization: A critical overview

Spectral remote sensing for onshore seepage characterization: A critical overview

... spectral remote sensing, the technique does not yet hold a good place among unconventional exploration methods for oil and gas resources nor does it acknowledged as a mature explora- tion tool by ...

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Multimodal classification of remote sensing images

Multimodal classification of remote sensing images

... context, Remote Sensing Images (RSIs) have been used as a major source of data, particularly with respect to the creation of thematic ...the data commonly captures specific frequencies across ...

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LARGE SCALE URBAN RECONSTRUCTION FROM REMOTE SENSING IMAGERY

LARGE SCALE URBAN RECONSTRUCTION FROM REMOTE SENSING IMAGERY

... automatic processing chains, we can process the input image data very fast, around the clock and without the need for additional user-guided ...additional data like building foot- prints, special ...

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Remote Sensing for Mineral Exploration in Central Portugal

Remote Sensing for Mineral Exploration in Central Portugal

... scale. Remote sensing techniques were used in order to increase current geological knowledge of the Góis–Castanheira de Pêra area (600 km 2 ) and to guide future exploration stages by targeting and ...

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Remote Sensing and Machine Learning Tools for Vegetation Monitoring

Remote Sensing and Machine Learning Tools for Vegetation Monitoring

... image data (2018) was included into the model as an attempt to incorporate the interannual variability into the training ...cover data was considered to be valid for 2018, as these dates are only one year ...

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APPLICATION OF PALSAR-2 REMOTE SENSING DATA FOR LANDSLIDE HAZARD MAPPING IN KELANTAN RIVER BASIN, PENINSULAR MALAYSIA

APPLICATION OF PALSAR-2 REMOTE SENSING DATA FOR LANDSLIDE HAZARD MAPPING IN KELANTAN RIVER BASIN, PENINSULAR MALAYSIA

... image processing techniques were implemented to the PALSAR-2 data for geological structures and lineament mapping at both regional and district scales in the state of ...

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CHROMITITE PROSPECTING USING LANDSAT TM AND ASTER REMOTE SENSING DATA

CHROMITITE PROSPECTING USING LANDSAT TM AND ASTER REMOTE SENSING DATA

... satellite data, separate noises in the image and decrease the computational requirements for subsequent processing (Boardman et ...using remote sensing data (Ninomiya et ...

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The potential of remote sensing data in public works audit

The potential of remote sensing data in public works audit

... (0.82m), SkySat-1 and 2 (0.9m) and Spot-6 and 7 (1.5 m) (Table 1). The increase in the availability of high-resolu- tion spatial images from commercial satellites has led to the growth of digital image processing ...

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