Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors

1 code implementation • 31 Jan 2023 • Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong

Anomaly segmentation in high spatial resolution (HSR) remote sensing imagery is aimed at segmenting anomaly patterns of the earth deviating from normal patterns, which plays an important role in various Earth vision applications.

Learning One-Class Hyperspectral Classifier from Positive and Unlabeled Data for Low Proportion Target

no code implementations • 27 Oct 2022 • Hengwei Zhao, Yanfei Zhong, Xin He, Xinyu Wang, Hong Shu

In this paper, a weakly supervised HSI one-class classifier, namely HOneCls is proposed to solve the problem of under-fitting of the positive class occurs in the HSI data with low target proportion, where a risk estimator -- the One-Class Risk Estimator -- is particularly introduced to make the full convolutional neural network (FCN) with the ability of one class classification.

Classification Multi-class Classification +1

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

no code implementations • 6 Sep 2022 • Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi

The objective of the competition is to automatically detect landslides based on large-scale multiple sources of satellite imagery collected globally.

Data Augmentation Semantic Segmentation

AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification

1 code implementation • 11 May 2022 • Chenyu Zheng, Junjue Wang, Ailong Ma, Yanfei Zhong

Land-cover classification has long been a hot and difficult challenge in remote sensing community.

Neural Architecture Search

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

2 code implementations • 17 Oct 2021 • Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, Yanfei Zhong

Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping.

Pseudo Label Semantic Segmentation +1

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

2 code implementations • ICCV 2021 • Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong

For high spatial resolution (HSR) remote sensing images, bitemporal supervised learning always dominates change detection using many pairwise labeled bitemporal images.

Building change detection for remote sensing images Change Detection +2

FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2021 • Ailong Ma, Junjue Wang, Yanfei Zhong, Zhuo Zheng

The small object semantic segmentation task is aimed at automatically extracting key objects from high-resolution remote sensing (HRS) imagery.

Semantic Segmentation

A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification

1 code implementation • 29 May 2021 • Qiqi Zhu, Weihuan Deng, Zhuo Zheng, Yanfei Zhong, Qingfeng Guan, Weihua Lin, Liangpei Zhang, Deren Li

However, FPGA has difficulty extracting the most discriminative features when the sample data is imbalanced.

Classification Hyperspectral Image Classification

WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification

no code implementations • 27 Dec 2020 • Xin Hu, Yanfei Zhong, Chang Luo, Xinyu Wang

Some start-of-art hyperspectral image classification methods benchmarked the WHU-Hi dataset, and the experimental results show that WHU-Hi is a challenging dataset.

Classification General Classification +1

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

2 code implementations • CVPR 2020 • Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma

However, general semantic segmentation methods mainly focus on scale variation in the natural scene, with inadequate consideration of the other two problems that usually happen in the large area earth observation scene.

Semantic Segmentation

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

1 code implementation • 11 Nov 2020 • Zhuo Zheng, Yanfei Zhong, Ailong Ma, Liangpei Zhang

In this paper, a fast patch-free global learning (FPGA) framework is proposed for HSI classification.

Classification General Classification +1

Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

no code implementations • 6 Nov 2020 • Shiqi Tian, Ailong Ma, Zhuo Zheng, Yanfei Zhong

With the acceleration of the urban expansion, urban change detection (UCD), as a significant and effective approach, can provide the change information with respect to geospatial objects for dynamical urban analysis.

Change Detection

Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation

no code implementations • 23 Jul 2017 • Xin-Yi Tong, Gui-Song Xia, Fan Hu, Yanfei Zhong, Mihai Datcu, Liangpei Zhang

Over the past two decades, a large amount of research on this task has been carried out, which mainly focuses on the following three core issues: feature extraction, similarity metric and relevance feedback.

Image Retrieval Retrieval

AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

1 code implementation • 18 Aug 2016 • Gui-Song Xia, Jingwen Hu, Fan Hu, Baoguang Shi, Xiang Bai, Yanfei Zhong, Liangpei Zhang

The goal of AID is to advance the state-of-the-arts in scene classification of remote sensing images.

Aerial Scene Classification Classification +2