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Dilated-ResUnet: A novel deep learning architecture for building extraction from medium resolution multi-spectral satellite imagery
In today's world, satellite images are being utilized for the identification of built-up area,
urban planning, disaster management, insurance & tax assessment in an area, and many …
urban planning, disaster management, insurance & tax assessment in an area, and many …
[HTML][HTML] Refuse: Generating imperviousness maps from multi-spectral sentinel-2 satellite imagery
Continual map** and monitoring of impervious surfaces are crucial activities to support
sustainable urban management strategies and to plan effective actions for environmental …
sustainable urban management strategies and to plan effective actions for environmental …
Detecting built-up areas in agricultural fields using deep learning on Sentinel-2 Satellite Image Time Series
M Debella-Gilo - Kart og Plan, 2022 - idunn.no
Parts of the limited agricultural land area in Norway are taken up by buildings, roads, and
other permanent changes every year. A method that detects such changes immediately after …
other permanent changes every year. A method that detects such changes immediately after …
Review of Various Learning Algorithms Applied to Satellite Image Classification
Satellite image classification plays a vital role for extracting and analyzing information in
satellite images. It is a process that classify an image according to its characteristics. The …
satellite images. It is a process that classify an image according to its characteristics. The …
S Vigneshwaran, SV Kumar - Environment and Natural …, 2019 - ph02.tci-thaijo.org
Land cover information is essential data required by urban planners and policy makers to
understand existing development and to protect natural resources in a city or town. With the …
understand existing development and to protect natural resources in a city or town. With the …
Enhancing the Classification of Remote Sensing Data Using Multiband Compact Texture Unit Descriptor and Deep Convolutional Neural Network
K Djerriri, A Sofia, MS Karoui… - IGARSS 2018-2018 IEEE …, 2018 - ieeexplore.ieee.org
This abstract proposes a method to enhance the classification of high spatial remotely
sensed imagery by using Multiband Compact Texture Unit (MBCTU) descriptor and pre …
sensed imagery by using Multiband Compact Texture Unit (MBCTU) descriptor and pre …
Convolutional neural network with U-Net architecture to detect buildings in satellite imagery for statistical purposes
M Kharis, S Mariyah - Statistical Journal of the IAOS, 2021 - journals.sagepub.com
Statistics Indonesia (BPS) carries out a population census every ten years, which provides
data on the number, composition, distribution, and characteristics of the Indonesian …
data on the number, composition, distribution, and characteristics of the Indonesian …
[PDF][PDF] ReFuse: Generating Imperviousness Maps from Multi-Spectral Sentinel-2 Satellite Imagery. Future Internet 2022, 14, 278
Continual map** and monitoring of impervious surfaces are crucial activities to support
sustainable urban management strategies and to plan effective actions for environmental …
sustainable urban management strategies and to plan effective actions for environmental …