
-
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
Hyperspectral images are crucial for many research works. Spectral super...
read it
-
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Deep learning techniques have provided significant improvements in hyper...
read it
-
Hyperspectral Anomaly Change Detection Based on Auto-encoder
With the hyperspectral imaging technology, hyperspectral data provides a...
read it
-
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
Non-local low-rank tensor approximation has been developed as a state-of...
read it
-
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Current hyperspectral image classification assumes that a predefined cla...
read it
-
A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery
Wuhan, the biggest city in China's central region with a population of m...
read it
-
DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation
The past decade has witnessed great progress on remote sensing (RS) imag...
read it
-
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection
Change detection (CD) is one of the most vital applications in remote se...
read it
-
Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
read it
-
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
With the development of Earth observation technology, very-high-resoluti...
read it
-
Learning Regional Attraction for Line Segment Detection
This paper presents regional attraction of line segment maps, and hereby...
read it
-
Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images
Very high resolution (VHR) images provide abundant ground details and sp...
read it
-
Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion
Multi-label learning draws great interests in many real world applicatio...
read it
-
Exploring Representativeness and Informativeness for Active Learning
How can we find a general way to choose the most suitable samples for tr...
read it
-
Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
The past few decades have witnessed the great progress of unmanned aircr...
read it
-
Learning Attraction Field Representation for Robust Line Segment Detection
This paper presents a region-partition based attraction field dual repre...
read it
-
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Change detection has been a hotspot in remote sensing technology for a l...
read it
-
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network
The existence of hybrid noise in hyperspectral images (HSIs) severely de...
read it
-
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation
Destriping is a classical problem in remote sensing image processing. Al...
read it
-
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model
In the field of spatial-spectral fusion, the model-based method and the ...
read it
-
Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images
In recent years, large amount of high spatial-resolution remote sensing ...
read it
-
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
This paper aims to address the problem of detecting buildings from remot...
read it
-
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery
Many significant applications need land cover information of remote sens...
read it
-
Recent advances and opportunities in scene classification of aerial images with deep models
Scene classification is a fundamental task in interpretation of remote s...
read it
-
AID++: An Updated Version of AID on Scene Classification
Aerial image scene classification is a fundamental problem for understan...
read it
-
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...
read it
-
Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker
Object tracking is a hot topic in computer vision. Thanks to the booming...
read it
-
Learning the Synthesizability of Dynamic Texture Samples
A dynamic texture (DT) refers to a sequence of images that exhibit tempo...
read it
-
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Pan-sharpening is a fundamental and significant task in the field of rem...
read it
-
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Object detection is an important and challenging problem in computer vis...
read it
-
Deep learning in remote sensing: a review
Standing at the paradigm shift towards data-intensive science, machine l...
read it
-
Learning a Dilated Residual Network for SAR Image Despeckling
In this letter, to break the limit of the traditional linear models for ...
read it
-
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Remote sensing (RS) image retrieval based on visual content is of great ...
read it
-
Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network
In the field of fusing multi-spectral and panchromatic images (Pan-sharp...
read it
-
Anisotropic-Scale Junction Detection and Matching for Indoor Images
Junctions play an important role in the characterization of local geomet...
read it
-
A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data
Mega-city analysis with very high resolution (VHR) satellite images has ...
read it
-
Image Stitching by Line-guided Local Warping with Global Similarity Constraint
Low-textured image stitching remains a challenging problem. It is diffic...
read it
-
A Spatial and Temporal Non-Local Filter Based Data Fusion
The trade-off in remote sensing instruments that balances the spatial re...
read it
-
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Aerial scene classification, which aims to automatically label an aerial...
read it
-
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1...
read it
-
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery
Scene classification is a key problem in the interpretation of high-reso...
read it