Image retrieval from remote sensing big data: A survey
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
Attention consistent network for remote sensing scene classification
Remote sensing (RS) image scene classification is an important research topic in the RS
community, which aims to assign the semantics to the land covers. Recently, due to the …
community, which aims to assign the semantics to the land covers. Recently, due to the …
SAR image segmentation based on convolutional-wavelet neural network and Markov random field
Synthetic aperture radar (SAR) imaging system is usually an observation of the earths'
surface. It means that rich structures exist in SAR images. Convolutional neural network …
surface. It means that rich structures exist in SAR images. Convolutional neural network …
Meta-hashing for remote sensing image retrieval
With the explosive growth of the volume and resolution of high-resolution remote-sensing
(HRRS) images, the management of them becomes a challenging task. The traditional …
(HRRS) images, the management of them becomes a challenging task. The traditional …
SAGN: Semantic-aware graph network for remote sensing scene classification
The scene classification of remote sensing (RS) images plays an essential role in the RS
community, aiming to assign the semantics to different RS scenes. With the increase of …
community, aiming to assign the semantics to different RS scenes. With the increase of …
A review on recent advances in remote sensing image retrieval techniques
SK Sudha, S Aji - Journal of the Indian Society of Remote Sensing, 2019 - Springer
Due to the rapid advancements in the remote sensing (RS) imaging modalities, the scientific
fraternity has been challenged to develop sophisticated methods for retrieving similar …
fraternity has been challenged to develop sophisticated methods for retrieving similar …
Unsupervised deep feature learning for remote sensing image retrieval
Due to the specific characteristics and complicated contents of remote sensing (RS) images,
remote sensing image retrieval (RSIR) is always an open and tough research topic in the RS …
remote sensing image retrieval (RSIR) is always an open and tough research topic in the RS …
A deep cross-modality hashing network for SAR and optical remote sensing images retrieval
W Xiong, Z Xiong, Y Zhang, Y Cui… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
The content-based remote sensing image retrieval (CBRSIR) has recently become a hot
topic due to its wide applications in analysis of remote sensing data. However, since …
topic due to its wide applications in analysis of remote sensing data. However, since …
Water body detection in high-resolution SAR images with cascaded fully-convolutional network and variable focal loss
The water body detection in high-resolution synthetic aperture radar (SAR) images is a
challenging task due to the changing interference caused by multiple imaging conditions …
challenging task due to the changing interference caused by multiple imaging conditions …
OpenSARUrban: A Sentinel-1 SAR image dataset for urban interpretation
The Sentinel-1 mission provides a freely accessible opportunity for urban image
interpretation based on synthetic aperture radar (SAR) data with a specific resolution, which …
interpretation based on synthetic aperture radar (SAR) data with a specific resolution, which …