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09/13/2023
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Remote sensing object detection (RSOD), one of the most fundamental and ...
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12/31/2022
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
Considering the computation complexity, we propose a Guided Hybrid Quant...
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07/02/2022
Pair-Relationship Modeling for Latent Fingerprint Recognition
Latent fingerprints are important for identifying criminal suspects. How...
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07/14/2021
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Image super-resolution (SR) methods can generate remote sensing images w...
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05/10/2021
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Semantic segmentation is an essential part of deep learning. In recent y...
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08/26/2019
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
Detecting moving objects from ground-based videos is commonly achieved b...
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11/13/2017
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
Image segmentation is considered to be one of the critical tasks in hype...
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06/15/2017
Effective Sequential Classifier Training for Multitemporal Remote Sensing Image Classification
The explosive availability of remote sensing images has challenged super...
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07/01/2014
A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model
Orientation field, representing the fingerprint ridge structure directio...
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06/26/2014