Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Change detection methods for remote sensing in the last decade: A comprehensive review
Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …
detect and analyze changes occurring in the same geographical area over time, which has …
Flood detection with SAR: A review of techniques and datasets
Floods are among the most severe and impacting natural disasters. Their occurrence rate
and intensity have been significantly increasing worldwide in the last years due to climate …
and intensity have been significantly increasing worldwide in the last years due to climate …
Tech-driven forest conservation: combating deforestation with internet of things, artificial intelligence, and remote sensing
Deforestation poses a significant global environmental challenge with far-reaching
consequences for biodiversity, climate change, and livelihoods. In this context, applying …
consequences for biodiversity, climate change, and livelihoods. In this context, applying …
[HTML][HTML] The use of artificial intelligence and satellite remote sensing in land cover change detection: Review and perspectives
Z Gu, M Zeng - Sustainability, 2024 - mdpi.com
The integration of Artificial Intelligence (AI) and Satellite Remote Sensing in Land Cover
Change Detection (LCCD) has gained increasing significance in scientific discovery and …
Change Detection (LCCD) has gained increasing significance in scientific discovery and …
FENet: Feature enhancement network for land cover classification
Z Ma, M **a, H Lin, M Qian, Y Zhang - International Journal of …, 2023 - Taylor & Francis
Extracting mask information of buildings and water areas from high resolution remote
sensing images is beneficial to monitoring and management of urban development …
sensing images is beneficial to monitoring and management of urban development …
HMCNet: Hybrid efficient remote sensing images change detection network based on cross-axis attention MLP and CNN
L Wang, H Li - IEEE Transactions on Geoscience and Remote …, 2022 - ieeexplore.ieee.org
As an important task in the field of remote sensing image interpretation, change detection
(CD) has been extensively studied by scholars in recent years. Affected by the illumination …
(CD) has been extensively studied by scholars in recent years. Affected by the illumination …
[HTML][HTML] SMD-Net: Siamese multi-scale difference-enhancement network for change detection in remote sensing
Change detection, as an important task of remote sensing image processing, has a wide
range of applications in many aspects such as land use and natural disaster assessment …
range of applications in many aspects such as land use and natural disaster assessment …
[HTML][HTML] Open-pit mining area extraction from high-resolution remote sensing images based on EMANet and FC-CRF
Z Ren, L Wang, Z He - Remote Sensing, 2023 - mdpi.com
Rapid and accurate identification of open-pit mining areas is essential for guiding production
planning and assessing environmental impact. Remote sensing technology provides an …
planning and assessing environmental impact. Remote sensing technology provides an …
Change detection from synthetic aperture radar images via dual path denoising network
Benefited from the rapid and sustainable development of synthetic aperture radar (SAR)
sensors, change detection from SAR images has received increasing attentions over the …
sensors, change detection from SAR images has received increasing attentions over the …
[HTML][HTML] Optimum supervised classification algorithm identification by investigating PlanetScope and Skysat multispectral satellite data of Covid lockdown
This research identifies the optimum supervised classification algorithm based on modeling
Covid 19 lockdown situations all around the World. The deadly Covid 19 viruses suddenly …
Covid 19 lockdown situations all around the World. The deadly Covid 19 viruses suddenly …