Search Results - "Chi, Mingmin"

A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images by Bruzzone, L., Mingmin Chi, Marconcini, M.

“…This paper introduces a semisupervised classification method that exploits both labeled and unlabeled samples for addressing ill-posed problems with support…”
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Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal by Mingmin Chi, Bruzzone, L.

“…This paper addresses classification of hyperspectral remote sensing images with kernel-based methods defined in the framework of semisupervised support vector…”
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SAFFNet: Self-Attention-Based Feature Fusion Network for Remote Sensing Few-Shot Scene Classification by Kim, Joseph, Chi, Mingmin

“…In real applications, it is necessary to classify new unseen classes that cannot be acquired in training datasets. To solve this problem, few-shot learning…”
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Mask-R-FCN: A Deep Fusion Network for Semantic Segmentation by Zhang, Yunfeng, Chi, Mingmin

“…Remote sensing image classification plays a significant role in urban applications, precision agriculture, water resource management. The task of…”
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Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art by Ghamisi, Pedram, Gloaguen, Richard, Atkinson, Peter M., Benediktsson, Jon Atli, Rasti, Behnood, Yokoya, Naoto, Wang, Qunming, Hofle, Bernhard, Bruzzone, Lorenzo, Bovolo, Francesca, Chi, Mingmin, Anders, Katharina

“…This article brings together the advances of multisource and multitemporal data fusion approaches with respect to the various research communities and provides…”
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New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning by Ghamisi, Pedram, Maggiori, Emmanuel, Li, Shutao, Souza, Roberto, Tarablaka, Yuliya, Moser, Gabriele, De Giorgi, Andrea, Fang, Leyuan, Chen, Yushi, Chi, Mingmin, Serpico, Sebastiano B., Benediktsson, Jon Atli

“…In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in terms of spectral and spatial resolution, which makes the data sets…”
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Long Short-Term Memory With Quadratic Connections in Recursive Neural Networks for Representing Compositional Semantics by Wu, Dong, Chi, Mingmin

“…Long short-term memory (LSTM) has been widely used in different applications, such as natural language processing, speech recognition, and computer vision over…”
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A Multitask Feature Fusion Network for Woven Fabric Density Analysis by Ding, MeiFei, Pan, Liming, Chi, Mingmin

“…The density analysis of woven fabrics is a critical part of quality control in textile production. Traditional image-processing-based methods for density…”
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A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos by Chi, Mingmin, Sun, Zhongyi, Qin, Yiqing, Shen, Jinsheng, Benediktsson, Jon Atli

“…With the rapid development of the internet and popularization of intelligent mobile devices, social media is evolving fast and contains rich spatial…”
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RSImageNet: A Universal Deep Semantic Segmentation Lifecycle for Remote Sensing Images by Qin, Yiqing, Chi, Mingmin

“…In real applications, there is a lack of labeled data to train a proper deep neural network (DNN) model for map generation of remote sensing images. The aim of…”
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Ensemble Classification Algorithm for Hyperspectral Remote Sensing Data by Mingmin Chi, Qian Kun, Benediktsson, J.A., Rui Feng

“…In real applications, it is difficult to obtain a sufficient number of training samples in supervised classification of hyperspectral remote sensing images…”
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Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective by Sicong Liu, Mingmin Chi, Yangxiu Zou, Samat, Alim, Atli Benediktsson, Jon, Plaza, Antonio

“…Oil spill monitoring in optical remote sensing (RS) images is a challenging task due to the complexity of target discrimination in an oil spill scenario…”
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A Novel Multiview Topic Model to Compute Correlation of Heterogeneous Data by Shen, Jinsheng, Chi, Mingmin

“…With fast development of Internet technologies and sensor techniques, it is much easier to acquire data from different sources in different dates and times…”
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Relation Parsing Neural Network for Human-Object Interaction Detection by Zhou, Penghao, Chi, Mingmin

“…Human-Object Interaction Detection devotes to infer a triplet <; human, verb, object > between human and objects. In this paper, we propose a novel model,…”
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A semilabeled-sample-driven bagging technique for ill-posed classification problems by Mingmin Chi, Bruzzone, L.

“…In this letter, a semilabeled-sample-driven bootstrap aggregating (bagging) technique based on a co-inference (inductive and transductive) framework is…”
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Hierarchical Signal Fusion Network for Pulsar Detection with Phase-Correlation and Signal Attentions by Wu, Huajian, Chi, Mingmin

“…The discovery of pulsars is of great importance to human understanding of the universe. Deep learning has exploited to find pulsars based on radio astronomical…”
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Non-IID federated learning via random exchange of local feature maps for textile IIoT secure computing by Peng, Bo, Chi, Mingmin, Liu, Chao

“…With the fast development of artificial intelligence (AI) and industrial Internet of Things (IIoT) technologies, it is challenging to deal with the problems of…”
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Big Data for Remote Sensing: Challenges and Opportunities by Chi, Mingmin, Plaza, Antonio, Benediktsson, Jon Atli, Sun, Zhongyi, Shen, Jinsheng, Zhu, Yangyong

“…Every day a large number of Earth observation (EO) spaceborne and airborne sensors from many different countries provide a massive amount of remotely sensed…”
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Superpixel-based active learning for the classification of hyperspectral images by Zhongyi Sun, Mingmin Chi

“…It is important to select representative patterns for successful classification of remotely sensing images. In the paper, a superpixel-based active learning…”
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Hierarchical Multi-Task Learning for Fabric Component Analysis Based on NIR Spectral Signals by Kim, Joseph, Wu, Dong, Chi, Mingmin, Xu, Gaoqi

“…Near Infrared (NIR) Spectral signal has been successfully applied to fabric component analysis (FCA), which is used to identify the category of the textile…”
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