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Novel Adaptive Region Spectral-Spatial Features for Land Cover Classification with High Spatial Resolution Remotely Sensed Imagery

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes

Remote sensing of environment, 2019-09, Vol.230, p.111207, Article 111207

2019

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A Feature Difference Convolutional Neural Network-Based Change Detection Method

IEEE transactions on geoscience and remote sensing, 2020-10, Vol.58 (10), p.7232-7246

2020

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Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

Remote sensing of environment, 2019-03, Vol.223, p.34-49

2019

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Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

Remote sensing of environment, 2018-09, Vol.214, p.73-86

2018

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A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution

Remote sensing of environment, 2020-09, Vol.247, p.111912, Article 111912

2020

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Video Compression Based on Spatio-Temporal Resolution Adaptation

IEEE transactions on circuits and systems for video technology, 2019-01, Vol.29 (1), p.275-280

2019

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Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction

Remote sensing of environment, 2021-01, Vol.252, p.112130, Article 112130

2021

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Capability of Remote Sensing Images to Distinguish the Urban Surface Materials: A Case Study of Venice City

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (19), p.3959

Cavalli, Rosa Maria

2021

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Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery

IEEE geoscience and remote sensing letters, 2016-06, Vol.13 (6), p.747-751

2016

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Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning

IEEE transactions on geoscience and remote sensing, 2013-04, Vol.51 (4), p.1883-1896

2013

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Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis

Remote sensing of environment, 2018-06, Vol.210, p.259-268

2018

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Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery

IEEE transactions on geoscience and remote sensing, 2018-07, Vol.56 (7), p.4002-4015

2018

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HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking

IEEE transactions on image processing, 2021, Vol.30, p.3056-3068

2021

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CEGFNet: Common Extraction and Gate Fusion Network for Scene Parsing of Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-10

2022

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Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery

Remote sensing of environment, 2022-08, Vol.277, p.113058, Article 113058

2022

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A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B

Remote sensing of environment, 2018-09, Vol.215, p.300-312

2018

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High Spatial-Temporal Resolution Reconstruction of Plane-Wave Ultrasound Images With a Multichannel Multiscale Convolutional Neural Network

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2018-11, Vol.65 (11), p.1983-1996

2018

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Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data

IEEE transactions on geoscience and remote sensing, 2021-08, Vol.59 (8), p.6357-6370

2021

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Convolutional SVM Networks for Object Detection in UAV Imagery

IEEE transactions on geoscience and remote sensing, 2018-06, Vol.56 (6), p.3107-3118

2018

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Res2-Unet, a New Deep Architecture for Building Detection From High Spatial Resolution Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.1494-1501

2022

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Smoothed particle hydrodynamics with adaptive spatial resolution (SPH-ASR) for free surface flows

Journal of computational physics, 2021-10, Vol.443, p.110539, Article 110539

2021

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Multi-sensor feature fusion for very high spatial resolution built-up area extraction in temporary settlements

Remote sensing of environment, 2018-05, Vol.209, p.793-807

2018

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Integrating spatial gene expression and breast tumour morphology via deep learning

Nature biomedical engineering, 2020-08, Vol.4 (8), p.827

2020

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Novel Adaptive Region Spectral-Spatial Features for Land Cover Classification with High Spatial Resolution Remotely Sensed Imagery

Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes

A Feature Difference Convolutional Neural Network-Based Change Detection Method

Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution

Video Compression Based on Spatio-Temporal Resolution Adaptation

Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction

Capability of Remote Sensing Images to Distinguish the Urban Surface Materials: A Case Study of Venice City

Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery

Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning

Land cover and land use change analysis using multi-spatial resolution data and object-based image analysis

Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery

HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking

CEGFNet: Common Extraction and Gate Fusion Network for Scene Parsing of Remote Sensing Images

Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery

Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery

A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B

High Spatial-Temporal Resolution Reconstruction of Plane-Wave Ultrasound Images With a Multichannel Multiscale Convolutional Neural Network

Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data

Convolutional SVM Networks for Object Detection in UAV Imagery

Res2-Unet, a New Deep Architecture for Building Detection From High Spatial Resolution Images

Smoothed particle hydrodynamics with adaptive spatial resolution (SPH-ASR) for free surface flows

Multi-sensor feature fusion for very high spatial resolution built-up area extraction in temporary settlements

Integrating spatial gene expression and breast tumour morphology via deep learning

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