[HTML][HTML] Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India

PK Mishra, A Rai, SC Rai - The Egyptian Journal of Remote Sensing and …, 2020 - Elsevier
Mapping and monitoring of land use land cover (LULC) changes in the Himalayas is vital for
sustainable development, planning and management. Based on remote sensing (RS) and …

Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach

CB Pande - Geocarto International, 2022 - Taylor & Francis
The change detection and land use and land cover (LULC) maps are more important
powerful forces behind numerous ecological systems and fallow land. The current research …

An efficient lightweight convolutional neural network for industrial surface defect detection

D Zhang, X Hao, D Wang, C Qin, B Zhao… - Artificial Intelligence …, 2023 - Springer
Since surface defect detection is significant to ensure the utility, integrality, and security of
productions, and it has become a key issue to control the quality of industrial products, which …

Deep learning and superpixel feature extraction based on contractive autoencoder for change detection in SAR images

N Lv, C Chen, T Qiu… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Image segmentation based on superpixel is used in urban and land cover change detection
for fast locating region of interest. However, the segmentation algorithms often degrade due …

[HTML][HTML] A survey of change detection methods based on remote sensing images for multi-source and multi-objective scenarios

Y You, J Cao, W Zhou - Remote Sensing, 2020 - mdpi.com
Quantities of multi-temporal remote sensing (RS) images create favorable conditions for
exploring the urban change in the long term. However, diverse multi-source features and …

Unsupervised change detection by cross-resolution difference learning

X Zheng, X Chen, X Lu, B Sun - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Change detection (CD) aims to identify the differences between multitemporal images
acquired over the same geographical area at different times. With the advantages of …

A new deep generative network for unsupervised remote sensing single-image super-resolution

JM Haut, R Fernandez-Beltran… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
Super-resolution (SR) brings an excellent opportunity to improve a wide range of different
remote sensing applications. SR techniques are concerned about increasing the image …

[HTML][HTML] Land use land cover change detection through geospatial analysis in an Indian Biosphere Reserve

TK Thakur, DK Patel, A Bijalwan, MJ Dobriyal… - Trees, Forests and …, 2020 - Elsevier
The present study examines the land use land cover (LULC) and change detection impacts
on forest ecosystem in Achanakmaar Amarkantak Biosphere Reserve (AABR–area 626.76 …

Temporal dynamics change of land use/land cover in Jhansi district of Uttar Pradesh over past 20 years using LANDSAT TM, ETM+ and OLI sensors

P Kumar, M Dobriyal, A Kale, AK Pandey - Remote Sensing Applications …, 2021 - Elsevier
Mapping and monitoring land use land cover (LULC) dynamics is vital for sustainable land
development, planning and management. Using advanced techniques of remote sensing …

Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach

S Du, W Li, J Li, S Du, C Zhang… - International Journal of …, 2022 - Taylor & Francis
Automatic extraction of land use and land cover changes in mining areas is crucial for the
supervision of mineral resources. This study proposes an automatic open-pit mine (OM) …