Accuracy assessment in convolutional neural network-based deep learning remote sensing studies—Part 1: Literature review
Convolutional neural network (CNN)-based deep learning (DL) is a powerful, recently
developed image classification approach. With origins in the computer vision and image …
developed image classification approach. With origins in the computer vision and image …
Accuracy assessment in convolutional neural network-based deep learning remote sensing studies—Part 2: Recommendations and best practices
Convolutional neural network (CNN)-based deep learning (DL) has a wide variety of
applications in the geospatial and remote sensing (RS) sciences, and consequently has …
applications in the geospatial and remote sensing (RS) sciences, and consequently has …
Image analysis for individual identification and feeding behaviour monitoring of dairy cows based on Convolutional Neural Networks (CNN)
Highlights•Top head image is used as Region of Interest for dairy cow individual
identification.•Dairy cows are classified in the feeder zone as standing or feeding.•Cow is …
identification.•Dairy cows are classified in the feeder zone as standing or feeding.•Cow is …
Intelligent ice detection on wind turbine blades using semantic segmentation and class activation map approaches based on deep learning method
Studying the efficacy of intelligent systems to successfully detect ice accumulation on wind
turbines in cold climates has been gaining traction in recent years. In this study, both …
turbines in cold climates has been gaining traction in recent years. In this study, both …
[HTML][HTML] Semantic image segmentation for sea ice parameters recognition using deep convolutional neural networks
C Zhang, X Chen, S Ji - International Journal of Applied Earth Observation …, 2022 - Elsevier
An accurate algorithm for sea ice segmentation is critical for monitoring sea ice parameters
of ship navigation in ice-covered seas, as it can automatically extract ice objects and …
of ship navigation in ice-covered seas, as it can automatically extract ice objects and …
Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond
In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …
fundamentally altering how we tackle a variety of challenges. Areas such as natural …
Uvid-net: Enhanced semantic segmentation of uav aerial videos by embedding temporal information
Semantic segmentation of aerial videos has been extensively used for decision making in
monitoring environmental changes, urban planning, and disaster management. The …
monitoring environmental changes, urban planning, and disaster management. The …
Prediction of categorized sea ice concentration from Sentinel-1 SAR images based on a fully convolutional network
I De Gelis, A Colin, N Longépé - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
The consistent and long-term spaceborne synthetic aperture radar (SAR) missions such as
Sentinel-1 (S-1) provide high-quality dual-polarized C-band images particularly suited to …
Sentinel-1 (S-1) provide high-quality dual-polarized C-band images particularly suited to …
RUF: Effective sea ice floe segmentation using end-to-end RES-UNET-CRF with dual loss
Sea ice observations through satellite imaging have led to advancements in environmental
research, ship navigation, and ice hazard forecasting in cold regions. Machine learning and …
research, ship navigation, and ice hazard forecasting in cold regions. Machine learning and …
ICENET: A semantic segmentation deep network for river ice by fusing positional and channel-wise attentive features
X Zhang, J Jin, Z Lan, C Li, M Fan, Y Wang, X Yu… - Remote Sensing, 2020 - mdpi.com
River ice monitoring is of great significance for river management, ship navigation and ice
hazard forecasting in cold-regions. Accurate ice segmentation is one most important pieces …
hazard forecasting in cold-regions. Accurate ice segmentation is one most important pieces …