Change detection methods for remote sensing in the last decade: A comprehensive review

G Cheng, Y Huang, X Li, S Lyu, Z Xu, H Zhao, Q Zhao… - Remote Sensing, 2024 - mdpi.com
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 …

Remote sensing object detection in the deep learning era—a review

S Gui, S Song, R Qin, Y Tang - Remote Sensing, 2024 - mdpi.com
Given the large volume of remote sensing images collected daily, automatic object detection
and segmentation have been a consistent need in Earth observation (EO). However, objects …

[HTML][HTML] Multispectral panoptic segmentation: Exploring the beach setting with worldview-3 imagery

OLF De Carvalho, OA de Carvalho Júnior… - International Journal of …, 2022 - Elsevier
Panoptic segmentation is a recent and powerful task that tackles individual object
recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing …

[HTML][HTML] Quad Gaussian Networks for Vehicle Detection in Aerial Images

H Liang, Y Wang - Sensors, 2024 - mdpi.com
Vehicle detection in remote sensing images is a crucial aspect of intelligent transportation
systems. It plays an essential role in road planning, congestion control, and road …

A data-centric approach for wind plant instance-level segmentation using semantic segmentation and GIS

OLF de Carvalho, OA de Carvalho Junior… - Remote Sensing, 2023 - mdpi.com
Wind energy is one of Brazil's most promising energy sources, and the rapid growth of wind
plants has increased the need for accurate and efficient inspection methods. The current …

EfferDeepNet: An Efficient Semantic Segmentation Method for Outdoor Terrain

Y Wei, W Wei, Y Zhang - Machines, 2023 - mdpi.com
The recognition of terrain and outdoor complex environments based on vision sensors is a
key technology in practical robotics applications, and forms the basis of autonomous …

Panoptic SwiftNet: Pyramidal Fusion for Real-Time Panoptic Segmentation

J Šarić, M Oršić, S Šegvić - Remote sensing, 2023 - mdpi.com
Dense panoptic prediction is a key ingredient in many existing applications such as
autonomous driving, automated warehouses, or remote sensing. Many of these applications …

RingMo-Galaxy: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks

Z Wang, Z Wang, P Cheng, L Zhao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Remote sensing lightweight foundation models have successfully achieved online
perception, providing real-time intelligent interpretation. However, their capabilities are …

A Label Correction Learning Framework for Gully Erosion Extraction Using High-Resolution Remote Sensing Images and Noisy Labels

C Zhao, Y Shen, N Su, Y Yan, S Feng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Rapid and reliable gully erosion (GE) extraction from high-resolution remote sensing
(HRRS) images is crucial for the development of land protection measures. For this task …

[PDF][PDF] A Novel Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images

TN Doan, DN Le-Thi - Journal of Advances in Information Technology, 2025 - jait.us
Flooding, a common natural disaster, causes widespread damage globally. Detecting flood
extents rapidly and accurately using Synthetic Aperture Radar (SAR) images is crucial for …