4.7 Article

Geographical Knowledge-Driven Representation Learning for Remote Sensing Images

Related references

Note: Only part of the references are listed.
Article Geography, Physical

A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection

Xi Wu et al.

Summary: Geographic information like altitude, latitude, and longitude plays a crucial role in cloud and snow detection in remote sensing imagery, but has been largely ignored in previous methods. By integrating geographic information with image data, the proposed GeoInfoNet achieves significantly improved performance in cloud and snow detection, outperforming existing state-of-the-art methods.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

Article Environmental Sciences

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

Wenjing Chen et al.

Summary: In this paper, a self-supervised spectral-spatial residual network (SSRN) is proposed to fuse high spatial resolution multispectral images (MSI) and low spatial resolution hyperspectral images (HSI) to obtain high resolution HSIs without the need for a large number of high resolution HSIs as supervised information in training.

REMOTE SENSING (2021)

Article Geography, Physical

A deep translation (GAN) based change detection network for optical and SAR remote sensing images

Xinghua Li et al.

Summary: With the advancement of space-based imaging technology, the study investigates the use of optical and SAR images for change detection in poor weather conditions. A deep translation based change detection network (DTCDN) is proposed to map optical images to SAR images and utilize supervised CD network for analysis, showing effectiveness and robustness compared to current methods.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

Article Engineering, Electrical & Electronic

Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization

Kun Li et al.

Summary: In this article, an end-to-end trainable network for HSI clustering is proposed to address the lack of effective supervision for feature learning and negative effect caused by the high redundancy of global dictionary atoms. The network utilizes cluster assignments with high confidence as pseudo-labels and an adaptive self-expressive coefficient matrix initialization strategy to reduce dictionary redundancy, achieving superior performance compared to state-of-the-art methods.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Computer Science, Artificial Intelligence

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

Qijian Zhang et al.

Summary: In this paper, an end-to-end Dense Attention Fluid Network (DAFNet) is proposed for salient object detection in optical remote sensing images. A Global Context-aware Attention (GCA) module is introduced to capture long-range context relationships and embedded in a Dense Attention Fluid structure for guiding the generation of high-level feature attention maps. The proposed DAFNet significantly outperforms existing state-of-the-art competitors in salient object detection for optical remote sensing images.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

Article Geography, Physical

A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery

Jiayong Liang et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Article Geography, Physical

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

Foivos Diakogiannis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture

Lei Ding et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Deep Matting for Cloud Detection in Remote Sensing Images

Wenyuan Li et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

Behnood Rasti et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2020)

Article Geochemistry & Geophysics

DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification

Bin Pan et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Article Geography, Physical

Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

Zhiwei Li et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Generative Adversarial Training forWeakly Supervised Cloud Matting

Zhengxia Zou et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

Article Geochemistry & Geophysics

Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM

Weiwei Sun et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Article Geochemistry & Geophysics

Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification

Yuebin Wang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)

Article Computer Science, Artificial Intelligence

Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images

Zhengxia Zou et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Geography, Physical

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

Ronald Kemker et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Article Geography, Physical

A light and faster regional convolutional neural network for object detection in optical remote sensing images

Peng Ding et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Article Engineering, Electrical & Electronic

Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module

Bo Yu et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)

Article Geography, Physical

Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images

Yansheng Li et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Colorization as a Proxy Task for Visual Understanding

Gustav Larsson et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

DeepPermNet: Visual Permutation Learning

Rodrigo Santa Cruz et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Geochemistry & Geophysics

Deep Learning Based Feature Selection for Remote Sensing Scene Classification

Qin Zou et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Unsupervised Visual Representation Learning by Context Prediction

Carl Doersch et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Letter Multidisciplinary Sciences

Open access to Earth land-cover map

Chen Jun et al.

NATURE (2014)

Article Geosciences, Multidisciplinary

Preliminary analysis of spatiotemporal pattern of global land surface water

Cao Xin et al.

SCIENCE CHINA-EARTH SCIENCES (2014)

Review Computer Science, Artificial Intelligence

Representation Learning: A Review and New Perspectives

Yoshua Bengio et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)