[PDF][PDF] A review of remotely sensed satellite image classification
S Dhingra, D Kumar - International Journal of Electrical and …, 2019 - researchgate.net
Satellite image classification has a vital role for the extraction and analysis of the useful
satellite image information. This paper comprises the study of the satellite images …
satellite image information. This paper comprises the study of the satellite images …
A hybrid privacy-preserving deep learning approach for object classification in very high-resolution satellite images
Deep learning (DL) has shown outstanding performances in many fields, including remote
sensing (RS). DL is turning into an essential tool for the RS research community. Recently …
sensing (RS). DL is turning into an essential tool for the RS research community. Recently …
Using aerial imagery and GIS in automated building footprint extraction and shape recognition for earthquake risk assessment of urban inventories
L Sahar, S Muthukumar… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Earthquakes cause massive loss of property and lives, and mitigating their potential effects
requires accurate modeling and simulation of their impacts. Earthquake building damage …
requires accurate modeling and simulation of their impacts. Earthquake building damage …
A review on satellite image processing for landslides detection
A Sharma, KK Sharma - Artificial Intelligence and Machine Learning in …, 2023 - Springer
Movement of earth material, soil, debris, and mud towards downhill is referred as landslide,
and this phenomenon occurs due to gravity. It has a very intensive impact on human life …
and this phenomenon occurs due to gravity. It has a very intensive impact on human life …
Fine-scale population estimation by 3D reconstruction of urban residential buildings
Fine-scale population estimation is essential in emergency response and epidemiological
applications as well as urban planning and management. However, representing …
applications as well as urban planning and management. However, representing …
Methods for determining the uncertainty of population estimates derived from satellite imagery and limited survey data: a case study of Bo City, Sierra Leone
R Hillson, JD Alejandre, KH Jacobsen, R Ansumana… - PloS one, 2014 - journals.plos.org
This study demonstrates the use of bootstrap methods to estimate the total population of
urban and periurban areas using satellite imagery and limited survey data. We conducted …
urban and periurban areas using satellite imagery and limited survey data. We conducted …
Extracting building footprints from satellite images using convolutional neural networks
Extracting building footprints from high resolution satellite (HRS) imagery has been an
extremely important topic of research in the field of remote sensing. The problem of …
extremely important topic of research in the field of remote sensing. The problem of …
Development of a land use extraction expert system through morphological and spatial arrangement analysis
Land use (LU) information is of significant value for various urban studies and is needed for
a wide variety of decision-making initiatives in the range of global, regional and urban areas …
a wide variety of decision-making initiatives in the range of global, regional and urban areas …
A cognitive method for building detection from high-resolution satellite images
In recent years, high-resolution satellite (HRS) images have become an important source of
data for extracting geo-spatial information. A deep understanding of human cognitive …
data for extracting geo-spatial information. A deep understanding of human cognitive …
Land Cover Extraction from Satellite Imagery using U-Net Model
KP Rani, P Sreedevi, C Dastagiriah… - … on Computing for …, 2024 - ieeexplore.ieee.org
Satellite imagery offers extensive information that can be used for a variety of societal
applications, from the number of buildings in a metropolis to the land cover types of a …
applications, from the number of buildings in a metropolis to the land cover types of a …