Papers geo-localization
“geo-localization” 태그가 달린 논문 140편 · 필터 해제
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms
Registering airborne SAR with spaceborne optical images is crucial for SAR image interpretation and geo-localization. It is challenging for this cross-platform heterogeneous image registration due to significant geometri…
geo-localizationImage RegistrationMetric LearningRecognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
Previous methods for image geo-localization have typically treated the task as either classification or retrieval, often relying on black-box decisions that lack interpretability. The rise of large vision-language models…
geo-localizationA Two-stage Optimization Method for Wide-range Single-electron Quantum Magnetic Sensing
Quantum magnetic sensing based on spin systems has emerged as a new paradigm for detecting ultra-weak magnetic fields with unprecedented sensitivity, revitalizing applications in navigation, geo-localization, biology, an…
geo-localizationGRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains
Recent advances in Visual Language Models (VLMs) have demonstrated exceptional performance in visual reasoning tasks. However, geo-localization presents unique challenges, requiring the extraction of multigranular visual…
geo-localizationVisual ReasoningWorld KnowledgeObject-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
Cross-view geo-localization determines the location of a query image, captured by a drone or ground-based camera, by matching it to a geo-referenced satellite image. While traditional approaches focus on image-level loca…
Few-Shot Learninggeo-localizationObjectRobust Cross-View Geo-Localization via Content-Viewpoint Disentanglement
Cross-view geo-localization (CVGL) aims to match images of the same geographic location captured from different perspectives, such as drones and satellites. Despite recent advances, CVGL remains highly challenging due to…
Contrastive LearningDisentanglementgeo-localizationA Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios
Cross-view geo-localization is a promising solution for large-scale localization problems, requiring the sequential execution of retrieval and metric localization tasks to achieve fine-grained predictions. However, exist…
geo-localizationRe-RankingRetrievalGeolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic Mapping
This paper presents a novel approach to geolocating images captured from the International Space Station (ISS) using advanced machine learning algorithms. Despite having precise ISS coordinates, the specific Earth locati…
Deep LearningEarth Observationgeo-localizationImage Rescaling+4Scale Efficient Training for Large Datasets
The rapid growth of dataset scales has been a key driver in advancing deep learning research. However, as dataset scale increases, the training process becomes increasingly inefficient due to the presence of low-value sa…
geo-localizationImage RetrievalImage SegmentationSemantic SegmentationFrom Limited Labels to Open Domains: An Efficient Learning Paradigm for UAV-view Geo-Localization
Traditional UAV-view Geo-Localization (UVGL) supervised paradigms are constrained by the strict reliance on paired data for positive sample selection, which limits their ability to learn cross-view domain-invariant repre…
geo-localizationTransfer LearningA Deep Learning Framework with Geographic Information Adaptive Loss for Remote Sensing Images based UAV Self-Positioning
With the expanding application scope of unmanned aerial vehicles (UAVs), the demand for stable UAV control has significantly increased. However, in complex environments, GPS signals are prone to interference, resulting i…
geo-localizationNAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
Image geo-localization is the task of predicting the specific location of an image and requires complex reasoning across visual, geographical, and cultural contexts. While prior Vision Language Models (VLMs) have the bes…
geo-localizationWithout Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-Localization
UAV-View Geo-Localization (UVGL) aims to achieve accurate localization of unmanned aerial vehicles (UAVs) by retrieving the most relevant GPS-tagged satellite images. However, existing methods heavily rely on pre-paired …
Computational EfficiencyContrastive Learninggeo-localizationPseudo LabelPrecise GPS-Denied UAV Self-Positioning via Context-Enhanced Cross-View Geo-Localization
Image retrieval has been employed as a robust complementary technique to address the challenge of Unmanned Aerial Vehicles (UAVs) self-positioning. However, most existing methods primarily focus on localizing objects cap…
geo-localizationImage RetrievalRubik's CubeVision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions
Planetary exploration using aerial assets has the potential for unprecedented scientific discoveries on Mars. While NASA's Mars helicopter Ingenuity proved flight in Martian atmosphere is possible, future Mars rotocrafts…
geo-localizationImage RegistrationIngenuityVisual OdometryUASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization
Geo-localization is an essential component of Unmanned Aerial Vehicle (UAV) navigation systems to ensure precise absolute self-localization in outdoor environments. To address the challenges of GPS signal interruptions o…
geo-localizationHomography EstimationUncertainty QuantificationImage-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?
The advances in Vision-Language models (VLMs) offer exciting opportunities for robotic applications involving image geo-localization, the problem of identifying the geo-coordinates of a place based on visual data only. R…
geo-localizationVAGeo: View-specific Attention for Cross-View Object Geo-Localization
Cross-view object geo-localization (CVOGL) aims to locate an object of interest in a captured ground- or drone-view image within the satellite image. However, existing works treat ground-view and drone-view query images …
geo-localizationObjectCross-View Image Set Geo-Localization
Cross-view geo-localization (CVGL) has been widely applied in fields such as robotic navigation and augmented reality. Existing approaches primarily use single images or fixed-view image sequences as queries, which limit…
geo-localizationWhere am I? Cross-View Geo-localization with Natural Language Descriptions
Cross-view geo-localization identifies the locations of street-view images by matching them with geo-tagged satellite images or OSM. However, most existing studies focus on image-to-image retrieval, with fewer addressing…
geo-localizationImage RetrievalRetrievalText Generation+1