Research on object detection and recognition in remote sensing images …
Apr 23, 2025 · This study applies the YOLOv11 model to train and detect ground object targets in high-resolution remote sensing images, aiming to evaluate its potential in enhancing detection …
Comparative analysis of deep learning image detection algorithms
May 10, 2021 · This project compares 3 major image processing algorithms: Single Shot Detection (SSD), Faster Region based Convolutional Neural Networks (Faster R-CNN), and …
State-of-the-Art Deep Learning Methods for Objects Detection in …
To improve ship detection in SAR images, Nambiar et al. proposed an approach that integrates advanced deep learning techniques with a deepSORT tracking algorithm. They explored and …
Remote Sensing Imagery for Flood Detection: Exploration of …
2 days ago · The effective use of Remote Sensing images for accurate flood detection requires specific detection methods. Typically, Deep Neural Networks are employed, which are trained …
YOLO-RLDW: An Algorithm for Object Detection in Aerial Images …
Abstract: Aiming at the challenges of low detection accuracy, susceptibility to complex background interference, difficulty in detecting small objects, and multi-scale object issues in …
A Target Detection Algorithm for Remote Sensing Images Based …
Aiming at the inaccuracy of target detection in remote sensing images, a new target detection algorithm DFS is proposed, which is mainly composed of neural network, dimensional …
Application of Image Recognition Methods to Determine Land …
Apr 25, 2025 · The figures illustrating the operation of the satellite image post-processing algorithm, ... A Global Swin-Unet Sentinel-2 Surface Reflectance-Based Cloud and Cloud …
satellite-image-deep-learning/techniques - GitHub
FlightScope_Bench-> A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery, including Faster RCNN, DETR, SSD, RTMdet, RetinaNet, CenterNet, …
Object Detection: The Definitive 2025 Guide - viso.ai
Oct 4, 2024 · How to Compare Image Detection Algorithms. The most popular benchmark is the Microsoft COCO dataset. Different models are typically evaluated according to a Mean …
Scene categorization by Hessian-regularized active perceptual …
Jan 4, 2025 · Utilizing the BING objectness measure, we efficiently localize objects or their details across varying scales within scenes. To emulate humans observing semantically or visually …
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