Object Detection in Large-Scale Remote Sensing Images With a Distributed Deep Learning Framework
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 With the accumulation and storage of remote sensing images in various satellite data centers, the rapid detection of objects of interest from large-scale remote sensing images is a current research focus and application requirement. Although some cutting-
Linkai Liu +6 more
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A novel semi-fragile forensic watermarking scheme for remote sensing images [PDF]
, 2011 Peer-reviewedA semi-fragile watermarking scheme for multiple band images is presented. We propose to embed a mark into remote sensing images applying a tree structured vector quantization approach to the pixel signatures, instead of processing each band ...
Aiazzi B. +24 more
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Remote sensing image fusion based on real time image smoothing and image similarity
Systems and Soft ComputingReal-time image smoothing and image similarity of remote sensing image techniques can help people to obtain image information more accurately in the field of remote sensing.
Yanfang Hou, Kaixuan Guo, Xueyan Bi
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Stripe Noise Detection of High-Resolution Remote Sensing Images Using Deep Learning Method
Remote Sensing, 2022 Stripe noise is considered one of the largest issues in space-borne remote sensing. The features of stripe noise in high-resolution remote sensing images are varied in different spatiotemporal conditions, leading to limited detection capability.
Binbo Li +6 more
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Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery
, 2018 Many significant applications need land cover information of remote sensing images that are acquired from different areas and times, such as change detection and disaster monitoring.
Lu, Qikai +3 more
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Detection of artificial fragments embedded in remote sensing images by adversarial neural networks
Компьютерная оптика, 2022 We investigate algorithms for detecting artificial fragments of remote sensing images generated by adversarial neural networks. We consider a detector of artificial images based on the detection of a spectral artifact of generative-adversarial neural ...
M.V. Gashnikov, A.V. Kuznetsov
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RSPS-SAM: A Remote Sensing Image Panoptic Segmentation Method Based on SAM
Remote SensingSatellite remote sensing images contain complex and diverse ground object information and the images exhibit spatial multi-scale characteristics, making the panoptic segmentation of satellite remote sensing images a highly challenging task.
Zhuoran Liu +6 more
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Open source R for applying machine learning to RPAS remote sensing images [PDF]
, 2017 The increase in the number of remote sensing platforms, ranging from satellites to close-range Remotely Piloted Aircraft System (RPAS), is leading to a growing demand for new image processing and classification tools.
Masiero, Andrea +2 more
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Assessment of different models for bathymetry calculation using SPOT multispectral images in a high-turbidity area: the mouth of the Guadiana Estuary [PDF]
, 2013 Periodic calculation of coastal bathymetries can show the evolution of geomorpholo- gical features in active areas such as mesotidal estuary mouths.
Ojeda Zújar, José
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A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
Earth Sciences Research Journal, 2018 Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature.
Rui Zeng, Yingyan Wang, Wanliang Wang
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