期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (5)
Oil spill incidents endanger the marine environment. A spaceborne multispectral imager can be used to observe the floating oil slicks on a large scale......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (6)
An imaging sonar using stepped-frequency linear frequency modulation (LFM) pulses can improve the range resolution. Nevertheless, the range resolution......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (7)
Continuous wavelet transform (CWT) is an effective tool for seismic time-frequency (TF) analysis. Selecting a matched wavelet to the analyzed seismic ......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (8)
Topographic and angular corrections on Sentinel-2 imagery are crucial for the generation of consistent surface reflectance. We propose a novel topogra......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (8)
In this letter, a novel method is proposed to estimate the along-track baseline for a multichannel synthetic aperture radar (SAR) system, intended for......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (9)
The tilt modulation is one of the key factors affecting sea wave inversion accuracy based on some microwave sensors such as SAR, microwave spectromete......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (7)
Diffractions can correctly identify the geological discontinuities as they are physically reliable carriers of high-resolution structural information.......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (5)
The emerging technology of deep neural networks has been proven to be successful for hyperspectral image analysis. However, it is still a great challe......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (5)
Automated road extraction from very high-resolution (VHR) remote sensing imagery is important in many practical applications and has a long research h......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (5)
In recent years, deep convolutional neural networks (CNNs) have been widely investigated for hyperspectral image (HSI) classification. The CNN-based H......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (7)
Tree species classification is beneficial to multiple applications but is difficult because the categories should be discriminated by subtle differenc......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (9)
Object detection in remote sensing images has important applications in various aspects. Object detection algorithms with deep convolutional neural ne......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (9)
Deep learning (DL) techniques recently have attracted much attention in the synthetic aperture radar (SAR) automatic target recognition (ATR). Due to ......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (5)
In the last few years, the deep learning methods, especially the residual neural network, have achieved impressive performance in remote sensing image......
期刊： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021; 18 (7)
The linear range walk correction (LRWC) and the inherent azimuth-variant geometric configuration in the case of one-stationary bistatic synthetic aper......
