Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2019 Arising from the various object types and scales, diverse imaging orientations, and cluttered backgrounds in optical remote sensing image (RSI), it is difficult to directly extend the success of salient object detection for nature scene image to the ...
Chongyi Li +5 more
semanticscholar +1 more source
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +6 more sources
An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery [PDF]
, 2020 Hyperspectral image sensing can be used to effectively detect the distribution of harmful cyanobacteria. To accomplish this, physical- and/or model-based simulations have been conducted to perform an atmospheric correction (AC) and an estimation of ...
Baek, Sangsoo +10 more
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Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 Advanced patch attacks (PAs) on object detection in natural images have pointed out the great safety vulnerability in methods based on deep neural networks (DNNs).
Xuxiang Sun +4 more
semanticscholar +1 more source
Cloud Removal Based on SAR-Optical Remote Sensing Data Fusion via a Two-Flow Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Optical remote sensing imagery plays an important role in observing the Earth's surface today. However, it is not easy to obtain complete multitemporal optical remote sensing images because of the cloud cover, how reconstructing cloud-free optical
Ruihan Mao +3 more
doaj +1 more source
Geo-Spatial Information Science, 2022 Mapping and monitoring the distribution of croplands and crop types support policymakers and international organizations by reducing the risks to food security, notably from climate change and, for that purpose, remote sensing is routinely used. However,
A. Tariq +4 more
semanticscholar +1 more source
Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images
Remote Sensing, 2021 Previously, generative adversarial networks (GAN) have been widely applied on super resolution reconstruction (SRR) methods, which turn low-resolution (LR) images into high-resolution (HR) ones.
Yuanfu Gong +7 more
doaj +1 more source
Satellite-Borne Optical Remote Sensing Image Registration Based on Point Features [PDF]
Sensors, 2021 Since technologies in image fusion, image splicing, and target recognition have developed rapidly, as the basis of many image applications, the performance of image registration directly affects subsequent work. In this work, for rich features of satellite-borne optical imagery such as panchromatic and multispectral images, the Harris corner algorithm ...
Xinan Hou +3 more
openaire +3 more sources
Registration of Multiresolution Remote Sensing Images Based on L2-Siamese Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The registration of multiresolution optical remote sensing images has been widely used in image fusion, change detection, and image stitching. However, traditional registration methods achieve poor accuracy in the registration of multiresolution remote ...
Rongbo Fan +4 more
doaj +1 more source
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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