Listar por autoría "725ebf27-1a78-4964-9d03-64dbd76c737c"
Mostrando ítems 1-17 de 17
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Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
Pla, Filiberto; Parajuli, Janak; Fernandez-Beltran, Ruben; kang, jian IEEE (2022-08-15)Monitoring water bodies from remote sensing data is certainly an essential task to supervise the actual conditions of the available water resources for environment conservation, sustainable development, and many other ... -
Deep Hashing Based on Class-Discriminated Neighborhood Embedding
kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua Institute of Electrical and Electronics Engineers (2020-09-30)Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ... -
Deep Learning-Based Building Footprint Extraction With Missing Annotations
kang, jian; Fernandez-Beltran, Ruben; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-04-21)Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ... -
Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization
kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua; Ghamisi, Pedram; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-05-12)With the development of convolutional neural networks (CNNs), the semantic understanding of remote sensing (RS) scenes has been significantly improved based on their prominent feature encoding capabilities. While many ... -
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast
kang, jian; Fernandez-Beltran, Ruben; Duan, Puhong; Liu, Sicong; Plaza, Antonio IEEE (2020-07-14)Convolutional neural networks (CNNs) have achieved great success when characterizing remote sensing (RS) images. However, the lack of sufficient annotated data (together with the high complexity of the RS image domain) ... -
Generalized Scalable Neighborhood Component Analysis for Single and Multi-Label Remote Sensing Image Characterization
kang, jian; SCARANO, Antonio; Plaza, Antonio IEEE (2021)Deep metric learning has recently become a prominent technology for the semantic understanding ofremote sensing (RS) scenes due to its great potential for characterizing visual semantics. However, state-of-the-art deep ... -
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval
kang, jian; Fernandez-Beltran, Ruben; Danfeng, Hong; Chanussot, Jocelyn; Plaza, Antonio IEEE (2020-08-21)Due to the proliferation of large-scale remote-sensing (RS) archives with multiple annotations, multilabel RS scene classification and retrieval are becoming increasingly popular. Although some recent deep learning-based ... -
High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
kang, jian; Fernandez-Beltran, Ruben; Ye, Zhen; Tong, Xiaohua; Ghamisi, Pedram; Plaza, Antonio MDPI (2020)Deep metric learning has recently received special attention in the field of remote sensing (RS) scene characterization, owing to its prominent capabilities for modeling distances among RS images based on their semantic ... -
Noise-Tolerant Deep Neighborhood Embedding for Remotely Sensed Images With Label Noise
kang, jian; Fernandez-Beltran, Ruben; Kang, Xudong; Ni, Jingen; Plaza, Antonio IEEE (2021-02-02)Recently, many deep learning-based methods have been developed for solving remote sensing (RS) scene classification or retrieval tasks. Most of the adopted loss functions for training these models require accurate annotations. ... -
PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation
kang, jian; Wang, Zhirui; Zhu, Ruoxin; Sun, Xian; Fernandez-Beltran, Ruben; Plaza, Antonio IEEE (2021-10-11)Building footprint segmentation from high-resolution remote sensing (RS) images plays a vital role in urban planning, disaster response, and population density estimation. Convolutional neural networks (CNNs) have been ... -
Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal
Fernandez-Beltran, Ruben; Baidar, Tina; kang, jian; Pla, Filiberto Multidisciplinary Digital Publishing Institute (2021-04-04)Crop yield estimation is a major issue of crop monitoring which remains particularly challenging in developing countries due to the problem of timely and adequate data availability. Whereas traditional agricultural systems ... -
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
kang, jian; Fernandez-Beltran, Ruben; Duan, Puhong; Kang, Xudong; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-12-16)Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale ... -
Rotation-Invariant Deep Embedding for Remote Sensing Images
kang, jian; Fernandez-Beltran, Ruben; Wang, Zhirui; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-06-28)Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ... -
Sentinel-3 Super-Resolution Based on Dense Multireceptive Channel Attention
Fernández, Rafael; Fernandez-Beltran, Ruben; kang, jian; Pla, Filiberto IEEE (2021-07-16)The unprecedented availability of remote sensing data from different complementary Sentinel missions provides increasing opportunities to alleviate the spatial limitations of Sentinel-3 (S3) from an intersensor perspective. ... -
Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
Fernandez-Beltran, Ruben; Pla, Filiberto; kang, jian; Moreno, Jose; Plaza, Antonio IEEE (2021-03-11)The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, ... -
Time-Resolved Sentinel-3 Vegetation Indices Via Inter-Sensor 3-D Convolutional Regression Networks
Fernandez-Beltran, Ruben; Ibáñez Fernández, Damián; kang, jian; Pla, Filiberto Institute of Electrical and Electronics Engineers (2021-09-03)Sentinel missions provide widespread opportunities of exploiting inter-sensor synergies to improve the operational monitoring of terrestrial photosynthetic activity and canopy structural variations using vegetation indices ... -
W-NetPan: Double-U network for inter-sensor self-supervised pan-sharpening
Fernandez-Beltran, Ruben; Fernandez-Botran, Rafael; kang, jian; Pla, Filiberto Elsevier ScienceDirect (2023-02-08)The increasing availability of remote sensing data allows dealing with spatial-spectral limitations by means of pan-sharpening methods. However, fusing inter-sensor data poses important challenges, in terms of resolution ...