Papers Remote Sensing Image Classification
“Remote Sensing Image Classification” 태그가 달린 논문 109편 · 필터 해제
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignments of all kinds, and this hampers re-usin…
General Classificationimage-classificationImage ClassificationRemote Sensing Image ClassificationA Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification
This paper analyzes and compares different deep learning loss functions in the framework of multi-label remote sensing (RS) image scene classification problems. We consider seven loss functions: 1) cross-entropy loss; 2)…
General Classificationimage-classificationImage ClassificationRemote Sensing Image Classification+1The color out of space: learning self-supervised representations for Earth Observation imagery
The recent growth in the number of satellite images fosters the development of effective deep-learning techniques for Remote Sensing (RS). However, their full potential is untapped due to the lack of large annotated data…
ColorizationDisease PredictionEarth ObservationImage Classification+3SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification
Automatic supervised classification with complex modelling such as deep neural networks requires the availability of representative training data sets. While there exists a plethora of data sets that can be used for this…
ClassificationGeneral Classificationimage-classificationImage Classification+4Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification
The land cover classification has played an important role in remote sensing because it can intelligently identify things in one huge remote sensing image to reduce the work of humans. However, a lot of classification me…
ClassificationGeneral ClassificationImage ClassificationLand Cover Classification+1DISIR: Deep Image Segmentation with Interactive Refinement
This paper presents an interactive approach for multi-class segmentation of aerial images. Precisely, it is based on a deep neural network which exploits both RGB images and annotations. Starting from an initial output b…
Image SegmentationInteractive SegmentationRemote Sensing Image ClassificationSegmentation+1Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
The detection performance of small objects in remote sensing images is not satisfactory compared to large objects, especially in low-resolution and noisy images. A generative adversarial network (GAN)-based model called …
Generative Adversarial NetworkImage EnhancementObjectobject-detection+5Lake Ice Monitoring with Webcams and Crowd-Sourced Images
Lake ice is a strong climate indicator and has been recognised as part of the Essential Climate Variables (ECV) by the Global Climate Observing System (GCOS). The dynamics of freezing and thawing, and possible shifts of …
Change detection for remote sensing imagesImage SegmentationLake DetectionLake Ice Monitoring+5Photi-LakeIce Dataset
Lake ice is a strong climate indicator and has been recognised as part of the Essential Climate Variables (ECV) by the Global Climate Observing System (GCOS). The dynamics of freezing and thawing, and possible shifts of …
Change detection for remote sensing imagesImage SegmentationLake DetectionLake Ice Monitoring+5Lake Ice Detection from Sentinel-1 SAR with Deep Learning
Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an important indicator to monitor climate change and global warming. The spatio-temporal extent of lake ice cover, along with the timings of key phenolo…
Change detection for remote sensing imagesDeep LearningLake Ice MonitoringRemote Sensing Image Classification+4A Novel Multi-Attention Driven System For Multi-Label Remote Sensing Image Classification
This paper presents a novel multi-attention driven system that jointly exploits Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) in the context of multi-label remote sensing (RS) image classification…
General Classificationimage-classificationImage ClassificationRemote Sensing Image ClassificationWide Contextual Residual Network with Active Learning for Remote Sensing Image Classification
In this paper, we propose a wide contextual residual network (WCRN) with active learning (AL) for remote sensing image (RSI) classification. Although ResNets have achieved great success in various applications (e.g. RSI…
Active LearningClassificationGeneral ClassificationHyperspectral Image Classification+3Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models
In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex information brought by the increased spatial resolution and the data…
ClassificationDomain AdaptationGeneral ClassificationLand Cover Classification+4Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study
The motivation of this paper is to conduct a comparative study on remote sensing image classification using the morphological attribute profiles (APs) and feature profiles (FPs) generated from different types of tree str…
AttributeGeneral Classificationimage-classificationImage Classification+1Three dimensional Deep Learning approach for remote sensing image classification
Recently, a variety of approaches has been enriching the field of Remote Sensing (RS) image processing and analysis. Unfortunately, existing methods remain limited faced to the rich spatio-spectral content of today's lar…
ClassificationDeep LearningGeneral Classificationimage-classification+3LAKE ICE MONITORING WITH WEBCAMS
Continuous monitoring of climate indicators is important for understanding the dynamics and trends of the climate system. Lake ice has been identified as one such indicator, and has been included in the list of Essential…
Change detection for remote sensing imagesLake Ice MonitoringRemote Sensing Image ClassificationSegmentation Of Remote Sensing Imagery+3Recent Developments from Attribute Profiles for Remote Sensing Image Classification
Morphological attribute profiles (APs) are among the most effective methods to model the spatial and contextual information for the analysis of remote sensing images, especially for classification task. Since their first…
AttributeClassificationGeneral Classificationimage-classification+2Deep Self-taught Learning for Remote Sensing Image Classification
This paper addresses the land cover classification task for remote sensing images by deep self-taught learning. Our self-taught learning approach learns suitable feature representations of the input data using sparse rep…
ClassificationDictionary LearningGeneral Classificationimage-classification+3Remote Sensing Image Classification with Large Scale Gaussian Processes
Current remote sensing image classification problems have to deal with an unprecedented amount of heterogeneous and complex data sources. Upcoming missions will soon provide large data streams that will make land cover/u…
ClassificationCloud DetectionGaussian ProcessesGeneral Classification+3Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification
The explosive availability of remote sensing images has challenged supervised classification algorithms such as Support Vector Machines (SVM), as training samples tend to be highly limited due to the expensive and labori…
ClassificationGeneral Classificationimage-classificationImage Classification+1