Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning (original) (raw)

A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery

Victor Alhassan

Neural Computing and Applications, 2019

View PDFchevron_right

Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning

Eleonora Bernasconi

ArXiv, 2019

View PDFchevron_right

A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks

Jorge García Gutiérrez

Remote Sensing

View PDFchevron_right

LAND USE/COVER CHANGE DETECTION ANALYSIS USING DEEP LEARNING

suwityi aung, IJCIRAS Research Publication

IJCIRAS, 2019

View PDFchevron_right

Land use Land Cover Classifıcation using Deep Learning Classifiers for Remote Sensed Images

Natya S

International Conference on IoT based Control Networks and Intelligent Systems (ICICNIS 2020), 2020

View PDFchevron_right

How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery?

Liangxiu Han

Remote Sensing, 2020

View PDFchevron_right

Land Cover Characterization of Satellite Images Utilizing Deep Learning Techniques

Minakshi Kumar

2020

View PDFchevron_right

Deep Learning in the Mapping of Agricultural Land Use Using Sentinel-2 Satellite Data

Ganesh Sethi

Geographies

View PDFchevron_right

Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems

Andrei Stoian

2019

View PDFchevron_right

DEEP LEARNING FOR LAND COVER MAPPING USING SENTINEL-2 IMAGERY: A CASE STUDY AT GREATER CAIRO, EGYPT

Muhammad Salem

IEEE International Geoscience and Remote Sensing Symposium, 2023

View PDFchevron_right

Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation

Fabiola Yépez

Remote Sensing

View PDFchevron_right

Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping

Rohaifa Khaldi

bioRxiv, 2021

View PDFchevron_right

Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

Elif SERTEL

Remote Sensing

View PDFchevron_right

Detecting Large-Scale Urban Land Cover Changes from Very High Resolution Remote Sensing Images Using CNN-Based Classification

Meng Lu

ISPRS International Journal of Geo-Information, 2019

View PDFchevron_right

Deep Learning-Based Detection of Urban Forest Cover Change along with Overall Urban Changes Using Very-High-Resolution Satellite Images

Jaehong Oh

Remote Sensing

View PDFchevron_right

Monitoring the Impact of Large Transport Infrastructure on Land Use and Environment Using Deep Learning and Satellite Imagery

Dubravko Culibrk

Remote Sensing

View PDFchevron_right

Hybrid Deep Learning Architecture for Land Use: Land Cover Images Classification with a Comparative and Experimental Study

Adil Kabbaj

International Journal of Advanced Computer Science and Applications, 2022

View PDFchevron_right

Application of Deep Learning in Satellite Image-based Land Cover Mapping in Africa

Nwojo Nnanna

International Journal of Advanced Computer Science and Applications

View PDFchevron_right

Model Generalization in Deep Learning Applications for Land Cover Mapping

Lucas Hu

ArXiv, 2020

View PDFchevron_right

Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models

Vladimir Ignatenko

2021

View PDFchevron_right

Assessment of Deep Learning Techniques for Land Use Land Cover Classification in Southern New Caledonia

Marc Despinoy

Remote. Sens., 2021

View PDFchevron_right

Deep learning approach for land use images classification

M'hamed AIT KBIR

E3S Web of Conferences

View PDFchevron_right

Performance comparison of CNNs on high-resolution multispectral dataset applied to land cover classification problem

Andrii Podorozhniak

Radioelectronic and Computer Systems

View PDFchevron_right

Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning

DHIMAN MONDAL

ArXiv, 2018

View PDFchevron_right

Application of Deep Learning in Satellite Image-based Land Cover Mapping in Africa Challenges, Emerging Solutions and Prospects: A Review

Innocent C Ezeomedo

(IJACSA) International Journal of Advanced Computer Science and Applications, 2021

View PDFchevron_right

Generation and Classification of Land Use and Land Cover Datasets in the Indian States: A Comparative Study of Machine Learning and Deep Learning Models

Nyenshu Seb Rengma

Research Square (Research Square), 2023

View PDFchevron_right

Land Use Land Cover Classification from Satellite Imagery using mUnet: A Modified Unet Architecture

Utkarsh Yadav

Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019

View PDFchevron_right

Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland

Philippe Tissot

Remote Sensing, 2020

View PDFchevron_right