4.7 Article

Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images

Related references

Note: Only part of the references are listed.
Article Geochemistry & Geophysics

Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning

Ying Sun et al.

Summary: This study utilizes high-spatial-resolution remote sensing images for building change detection, proposing a deep multitask learning framework that leverages semantic segmentation of buildings for fine-grained change detection. Experiments on the Guangzhou dataset validate the effectiveness of the method in detecting fine-grained "from-to" changes.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

Article Geochemistry & Geophysics

Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model

Yi Liu et al.

Summary: The proposed dual-task constrained deep Siamese convolutional network (DTCDSCN) model achieves both change detection and semantic segmentation simultaneously, improving feature extraction and representation to address the issue of lack of discriminative features in change detection. Experimental results demonstrate state-of-the-art performance on the WHU building data set, showcasing the effectiveness of the proposed method.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)

Article Geochemistry & Geophysics

SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images

Daifeng Peng et al.

Summary: A novel semisupervised convolutional network for change detection (SemiCDNet) based on a generative adversarial network (GAN) is proposed. By utilizing unlabeled data, the model's generalization capability is improved, and the effectiveness and reliability of the proposed method are verified on high-resolution remote sensing datasets.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Engineering, Electrical & Electronic

DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

Jie Chen et al.

Summary: Change detection is a fundamental task in remote sensing image processing. While deep learning has provided new tools for this task, current methods lack resistance to pseudochange information. To address this issue, a new method called dual attentive fully convolutional Siamese networks is proposed, achieving significant improvements compared to baseline methods according to experimental results.

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

Article Geochemistry & Geophysics

From W-Net to CDGAN: Bitemporal Change Detection via Deep Learning Techniques

Bin Hou et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Coupled Adversarial Training for Remote Sensing Image Super-Resolution

Sen Lei et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection

Wenzhi Zhao et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geography, Physical

A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis

Jiayi Li et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Review Environmental Sciences

Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

Wenzhong Shi et al.

REMOTE SENSING (2020)

Article Geochemistry & Geophysics

A Semisupervised GAN-Based Multiple Change Detection Framework in Multi-Spectral Images

Fenlong Jiang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Article Geography, Physical

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

Chenxiao Zhang et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

PPCNET: A Combined Patch-Level and Pixel-Level End-to-End Deep Network for High-Resolution Remote Sensing Image Change Detection

Tengfei Bao et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Article Geochemistry & Geophysics

A Feature Difference Convolutional Neural Network-Based Change Detection Method

Min Zhang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

Shunping Ji et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Article Geochemistry & Geophysics

Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection

Mengya Zhang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)

Article Geochemistry & Geophysics

Imbalanced Learning-Based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net

Rongfang Wang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)

Editorial Material Multidisciplinary Sciences

Deep neural network for remote-sensing image interpretation: status and perspectives

Jiayi Li et al.

NATIONAL SCIENCE REVIEW (2019)

Article Environmental Sciences

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet plus

Daifeng Peng et al.

REMOTE SENSING (2019)

Article Environmental Sciences

The Temporal Dynamics of Slums Employing a CNN-Based Change Detection Approach

Ruoyun Liu et al.

REMOTE SENSING (2019)

Article Geography, Physical

Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings (Withdrawn Publication)

Qi Chen et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)

Proceedings Paper Geosciences, Multidisciplinary

DETECTING URBAN CHANGES WITH RECURRENT NEURAL NETWORKS FROM MULTITEMPORAL SENTINEL-2 DATA

Maria Papadomanolaki et al.

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

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 Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Computer Science, Artificial Intelligence

A systematic study of the class imbalance problem in convolutional neural networks

Mateusz Buda et al.

NEURAL NETWORKS (2018)

Article Geochemistry & Geophysics

Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images

Yang Zhan et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)

Article Engineering, Electrical & Electronic

Monitoring the Morphological Transformation of Beijing Old City Using Remote Sensing Texture Analysis

Antoine Lefebvre et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Article Engineering, Electrical & Electronic

DIRSIG5: Next-Generation Remote Sensing Data and Image Simulation Framework

Adam A. Goodenough et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Proceedings Paper Environmental Sciences

Building change detection via a combination of CNNs using only RGB aerial imageries

Keisuke Nemoto et al.

REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS II (2017)

Article Geochemistry & Geophysics

A Novel Automatic Change Detection Method for Urban High-Resolution Remotely Sensed Imagery Based on Multiindex Scene Representation

Dawei Wen et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)

Review Geography, Physical

A survey on object detection in optical remote sensing images

Gong Cheng et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Article Geography, Physical

Change detection of built-up land: A framework of combining pixel-based detection and object-based recognition

Pengfeng Xiao et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Article Engineering, Electrical & Electronic

Building Change Detection From Multitemporal High-Resolution Remotely Sensed Images Based on a Morphological Building Index

Xin Huang et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Geochemistry & Geophysics

Fault-Tolerant Building Change Detection From Urban High-Resolution Remote Sensing Imagery

Yuqi Tang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2013)

Article Geochemistry & Geophysics

Change Detection in VHR Images Based on Morphological Attribute Profiles

Nicola Falco et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2013)

Article Engineering, Electrical & Electronic

Morphological Building/Shadow Index for Building Extraction From High-Resolution Imagery Over Urban Areas

Xin Huang et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2012)

Article Engineering, Electrical & Electronic

Generalized rejection sampling schemes and applications in signal processing

Luca Martino et al.

SIGNAL PROCESSING (2010)

Article Computer Science, Software Engineering

Poisson image editing

P Pérez et al.

ACM TRANSACTIONS ON GRAPHICS (2003)