Papers Remote Sensing Image Classification
“Remote Sensing Image Classification” 태그가 달린 논문 109편 · 필터 해제
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications
The advent of large language models (LLMs) has heightened interest in their potential for multimodal applications that integrate language and vision. This paper explores the capabilities of GPT-4V in the realms of geogra…
geo-localizationimage-classificationImage ClassificationLand Cover Classification+5Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification
Data collected by different modalities can provide a wealth of complementary information, such as hyperspectral image (HSI) to offer rich spectral-spatial properties, synthetic aperture radar (SAR) to provide structural …
image-classificationImage ClassificationRemote Sensing Image ClassificationFederated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification
Federated learning (FL) enables the collaboration of multiple deep learning models to learn from decentralized data archives (i.e., clients) without accessing data on clients. Although FL offers ample opportunities in kn…
Federated Learningimage-classificationImage ClassificationMulti-Label Classification+2SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification
Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. Existing MIM-based methods mostly focus on spatial feature modeling, neglecting spectral feature mode…
image-classificationImage ClassificationRemote Sensing Image ClassificationSelf-Supervised LearningFedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
Recently, a large number of Low Earth Orbit (LEO) satellites have been launched and deployed successfully in space by commercial companies, such as SpaceX. Due to multimodal sensors equipped by the LEO satellites, they s…
Federated Learningimage-classificationImage ClassificationRemote Sensing Image ClassificationA Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
Classification of very high-resolution (VHR) aerial remote sensing (RS) images is a well-established research area in the remote sensing community as it provides valuable spatial information for decision-making. Existing…
ClassificationDecision Makingimage-classificationImage Classification+1DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification
Deep neural networks face many problems in the field of hyperspectral image classification, lack of effective utilization of spatial spectral information, gradient disappearance and overfitting as the model depth increas…
Hyperspectral Image Classificationimage-classificationImage ClassificationRemote Sensing Image ClassificationIn-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification
We investigate the utility of in-domain self-supervised pre-training of vision models in the analysis of remote sensing imagery. Self-supervised learning (SSL) has emerged as a promising approach for remote sensing image…
Classificationimage-classificationImage ClassificationRemote Sensing Image Classification+2Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Generating learning-friendly representations for points in space is a fundamental and long-standing problem in ML. Recently, multi-scale encoding schemes (such as Space2Vec and NeRF) were proposed to directly encode any …
image-classificationImage ClassificationMetric LearningNeRF+2Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification
We present a comprehensive analysis of quantitatively evaluating explainable artificial intelligence (XAI) techniques for remote sensing image classification. Our approach leverages state-of-the-art machine learning appr…
ClassificationDecision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)+3Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification
In this paper, we introduce a novel Synchronized Class Token Fusion (SCT Fusion) architecture in the framework of multi-modal multi-label classification (MLC) of remote sensing (RS) images. The proposed architecture leve…
image-classificationImage ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+1Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification
Deep learning models for image classification are typically trained under the "closed-world" assumption with a predefined set of image classes. However, when the models are deployed they may be faced with input images no…
Classificationimage-classificationImage ClassificationOut-of-Distribution Detection+2MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification
To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hyperspectral Image (HSI) accompanied by anothe…
image-classificationImage ClassificationRemote Sensing Image ClassificationFireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
In recent decades, wildfires, as widespread and extremely destructive natural disasters, have caused tremendous property losses and fatalities, as well as extensive damage to forest ecosystems. Many fire risk assessment …
Image ClassificationRemote Sensing Image ClassificationSelf-Supervised LearningA Light-weight Deep Learning Model for Remote Sensing Image Classification
In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remote sensing image. To this end, we first …
image-classificationImage ClassificationKnowledge DistillationRemote Sensing Image ClassificationExample-Based Explainable AI and its Application for Remote Sensing Image Classification
We present a method of explainable artificial intelligence (XAI), "What I Know (WIK)", to provide additional information to verify the reliability of a deep learning model by showing an example of an instance in a traini…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)image-classificationImage Classification+2Universal Domain Adaptation for Remote Sensing Image Scene Classification
The domain adaptation (DA) approaches available to date are usually not well suited for practical DA scenarios of remote sensing image classification, since these methods (such as unsupervised DA) rely on rich prior know…
ClassificationDomain Adaptationimage-classificationImage Classification+3DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification
Research on remote sensing image classification significantly impacts essential human routine tasks such as urban planning and agriculture. Nowadays, the rapid advance in technology and the availability of many high-qual…
Classificationimage-classificationImage ClassificationRemote Sensing Image Classification+1A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification
In this paper, we present a robust and low complexity deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the scene of a remote sensing image. In particular, we firstly evaluate di…
image-classificationImage ClassificationQuantizationRemote Sensing Image ClassificationSemantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification
Multi-Label Remote Sensing Image Classification (MLRSIC) has received increasing research interest. Taking the cooccurrence relationship of multiple labels as additional information helps to improve the performance of th…
Graph Neural Networkimage-classificationImage ClassificationRemote Sensing Image Classification