True2 Orthoimage Map Generation

G Zhou, Q Wang, Y Huang, J Tian, H Li, Y Wang - Remote Sensing, 2022 - mdpi.com
Digital/true orthoimage maps (D/TOMs) are one of the most important forms of national
spatial data infrastructure (NSDI). The traditional generation of D/TOM is to orthorectify an …

Machine-learning algorithms for mapping debris-covered glaciers: the Hunza Basin case study

AA Khan, A Jamil, D Hussain, M Taj, G Jabeen… - Ieee …, 2020 - ieeexplore.ieee.org
Global warming is one of the main challenges of recent times. The glaciers are melting faster
than expected which has resulted in global mean sea level rise and increased the risk of …

Evaluating the effects of texture features on Pinus sylvestris classification using high-resolution aerial imagery

F Erdem, OC Bayrak - Ecological Informatics, 2023 - Elsevier
Pinus sylvestris, also known as Scots pine, is the most widespread type of pine tree found
around the world. Texture features can recognize patterns in an image's texture and so …

[HTML][HTML] Application of Artificial Intelligence in Glacier Studies: A State-of-the-Art Review

S Nurakynov, A Merekeyev, Z Baygurin, N Sydyk… - Water, 2024 - mdpi.com
Assessing glaciers using recent and historical data and predicting the future impacts on
them due to climate change are crucial for understanding global glacier mass balance …

Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica

R Tobar-Díaz, Y Gao, JF Mas… - Revista de …, 2023 - riunet.upv.es
[ES] Los métodos para la clasificación de uso y cobertura del suelo (UCS) han mostrado
avances importantes en los últimos años, como la incorporación de las técnicas de …

MCWESRGAN: improving enhanced super-resolution generative adversarial network for satellite images

K Karwowska, D Wierzbicki - IEEE Journal of Selected Topics …, 2023 - ieeexplore.ieee.org
With the dynamic technological development, we are witnessing a major progress in
solutions that allow for the observation of Earth's surface. Small satellites have a significant …

ACTL: Asymmetric convolutional transfer learning for tree species identification based on deep neural network

Y Shi, D Ma, J Lv, J Li - IEEE Access, 2021 - ieeexplore.ieee.org
The identification of tree species is of great significance to the sustainable management and
utilization of forest ecosystems. Hyperspectral data provide sufficient spectral and spatial …

A two-step ensemble-based genetic algorithm for land cover classification

Y Cao, W Feng, Y Quan, W Bao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Accurate land use and land cover (LULC) maps are effective tools to help achieve sound
urban planning and precision agriculture. As an intelligent optimization technology, genetic …

[HTML][HTML] In-camera IMU angular data for orthophoto projection in underwater photogrammetry

E Nocerino, F Menna - ISPRS Open Journal of Photogrammetry and …, 2023 - Elsevier
Among photogrammetric products, orthophotos are probably the most versatile and widely
used in many fields of application. In the last years, coupled with the spread of semi …

Detection and Monitoring of Woody Vegetation Landscape Features Using Periodic Aerial Photography

D Strnad, Š Horvat, D Mongus, D Ivajnšič, Š Kohek - Remote Sensing, 2023 - mdpi.com
Woody vegetation landscape features, such as hedges, tree patches, and riparian
vegetation, are important elements of landscape and biotic diversity. For the reason that …