A review on deep learning techniques for cloud detection methodologies and challenges
Cloud detection (CD) with deep learning (DL) algorithms has been greatly developed in the
applications involving the predictions of extreme weather and climate. In this review, the …
applications involving the predictions of extreme weather and climate. In this review, the …
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach
Building footprint is a primary dataset of an urban geographic information system (GIS)
database. Therefore, it is essential to establish a robust and automated framework for large …
database. Therefore, it is essential to establish a robust and automated framework for large …
[图书][B] What is machine learning?
I El Naqa, MJ Murphy - 2015 - Springer
Abstract Machine learning is an evolving branch of computational algorithms that are
designed to emulate human intelligence by learning from the surrounding environment …
designed to emulate human intelligence by learning from the surrounding environment …
A deep learning image segmentation model for agricultural irrigation system classification
Effective water management requires a large-scale understanding of agricultural irrigation
systems and how they shift in response to various stressors. Here, we leveraged advances …
systems and how they shift in response to various stressors. Here, we leveraged advances …
Automatic generation of synthetic datasets from a city digital twin for use in the instance segmentation of building facades
The extraction and integration of building facade data are necessary for the development of
information infrastructure for urban environments. However, existing methods for parsing …
information infrastructure for urban environments. However, existing methods for parsing …
MSNet: Multispectral semantic segmentation network for remote sensing images
In the research of automatic interpretation of remote sensing images, semantic segmentation
based on deep convolutional neural networks has been rapidly developed and applied, and …
based on deep convolutional neural networks has been rapidly developed and applied, and …
Remote sensing for monitoring photovoltaic solar plants in Brazil using deep semantic segmentation
MVCV Costa, OLF Carvalho, AG Orlandi, I Hirata… - Energies, 2021 - mdpi.com
Brazil is a tropical country with continental dimensions and abundant solar resources that
are still underutilized. However, solar energy is one of the most promising renewable …
are still underutilized. However, solar energy is one of the most promising renewable …
Intelligent prediction of wear location and mechanism using image identification based on improved Faster R-CNN model
Exploring on-line wear status detection methods is of great significance to the intelligent
operation and health management of mechanical equipment. At present, it is common to use …
operation and health management of mechanical equipment. At present, it is common to use …
Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources
Ensuring freshwater availability and supply sufficient for socio-economic development is
important for human health and productivity. Globally, increasing industrial agriculture is …
important for human health and productivity. Globally, increasing industrial agriculture is …
Deep semantic segmentation of mangroves in Brazil combining spatial, temporal, and polarization data from Sentinel-1 time series
GM de Souza Moreno, OA de Carvalho Júnior… - Ocean & Coastal …, 2023 - Elsevier
The automatic and accurate detection of mangroves from remote sensing data is essential to
assist in conservation strategies and decision-making that minimize possible environmental …
assist in conservation strategies and decision-making that minimize possible environmental …