Results 41 to 50 of about 2,221 (193)
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
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Verification of Complex Image Based Sparse SAR Imaging Method on GaoFen-3 Dataset
Leida xuebao, 2020 Sparse signal processing-based Synthetic Aperture Radar (SAR) imaging, also known as sparse SAR imaging, is the main research direction of sparse microwave imaging theory.
BI Hui +3 more
doaj +1 more source
Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels [PDF]
, 2020 Texture information allows characterizing the regions of interest in a scene. It refers to the spatial organization of the fundamental microstructures in natural images.
Argüello Pedreira, Francisco Santiago +2 more
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Review on Active and Passive Remote Sensing Techniques for Road Extraction [PDF]
, 2021 Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images ...
Ahokas, Eero +12 more
core +2 more sources
Semi-Empirical Algorithm for Wind Speed Retrieval from Gaofen-3 Quad-Polarization Strip Mode SAR Data [PDF]
Journal of Ocean University of China, 2019 Synthetic aperture radar (SAR) is a suitable tool to obtain reliable wind retrievals with high spatial resolution. The geophysical model function (GMF), which is widely employed for wind speed retrieval from SAR data, describes the relationship between the SAR normalized radar cross-section (NRCS) at the copolarization channel (vertical-vertical and ...
Zhu, Shuai +4 more
openaire +2 more sources
Commercial Satellite Imagery as an Evolving Open-Source Verification Technology: Emerging Trends and Their Impact for Nuclear Nonproliferation Analysis [PDF]
, 2015 One evolving and increasingly important means of verification of a State’s compliance with its international security obligations involves the application of publicly available commercial satellite imagery.
PABIAN FRANK
core +1 more source
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
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Oceanic front extraction from synthetic aperture radar (SAR) images is of great significance to the study of marine ecosystems. At present, the methods for oceanic front extraction are usually based on SAR intensity images, which treat oceanic fronts as edge-like features in the SAR images. However, affected by radar parameters and sea state, sometimes,
Kai Sun +4 more
openaire +2 more sources
Open Geosciences, 2018 The East Tianshan Mountain is one of the most important gold ore forming zones in northwestern China and central Asia. The Chinese GaoFen-1 (GF-1), the first Chinese high resolution satellite, is characterized by its 2-m resolution PAN data. The Advanced
Yang Min +4 more
doaj +1 more source
Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The ultrafinestrip (UFS) of the Gaofen-3 (GF-3) satellite provides extensive ocean wave details due to the high spatial resolution of 3 m. In this article, a new empirical model is developed to estimate wave height from GF-3 UFS mode data in South China Sea (SCS).
Limin Cui +3 more
openaire +2 more sources