RGB SAR products: methods and applications

Amitrano, Donato; Martino, Gerardo Di; Iodice, Antonio; Riccio, Daniele; Ruello, Giuseppe

doi:10.5721/eujrs20164941

Cited by 9 publications

(5 citation statements)

References 23 publications

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“…In [ 20 ], the management of the data is proposed for providing intermediate products between the classic Level-1 and Level-2 products. These products are particularly oriented toward the end-user community.…”

Section: Discussion and Comparisonsmentioning

confidence: 99%

“…Ulhmann et al [ 19 ] review previous attempts at PolSAR classifications using various feature combinations and then they introduce and perform an in-depth investigation of the application of color features over Pauli color-coded images besides SAR and texture features. In [ 20 ], the management of the data is proposed for providing intermediate products between the classic Level-1 and Level-2 products. These products are particularly oriented toward the end-user community.…”

Section: Introductionmentioning

confidence: 99%

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Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery

Κούκιου¹

2022

J. Imaging

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The four bands of fully polarimetric SAR data convey scattering characteristics of the Earth’s background, but perceptually are not very easy for an observer to use. In this work, the four different channels of fully polarimetric SAR images, namely HH, HV, VH, and VV, are combined so that a color image of the Earth’s background is derived that is perceptually excellent for the human eye and at the same time provides accurate information regarding the scattering mechanisms in each pixel. Most of the elementary scattering mechanisms are related to specific color and land cover types. The innovative nature of the proposed approach is due to the two different consecutive coloring procedures. The first one is a fusion procedure that moves all the information contained in the four polarimetric channels into three derived RGB bands. This is achieved by means of Cholesky decomposition and brings to the RGB output the correlation properties of a natural color image. The second procedure moves the color information of the RGB image to the CIELab color space, which is perceptually uniform. The color information is then evenly distributed by means of color equalization in the CIELab color space. After that, the inverse procedure to obtain the final RGB image is performed. These two procedures bring the PolSAR information regarding the scattering mechanisms on the Earth’s surface onto a meaningful color image, the appearance of which is close to Google Earth maps. Simultaneously, they give better color correspondence to various land cover types compared with existing SAR color representation methods.

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Section: Discussion and Comparisonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery

Κούκιου¹

2022

J. Imaging

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“…Multitemporal processing of Sentinel-1A and Sentinel-1B is a promising area of investigation. Some of the possible false colour compositions exploiting multitemporal SAR data were already investigated by [20], [36] at which they proposed an RGB composite based on bi-temporal images, particularly oriented toward change-detection applications. The idea would be to combine two intensity images.…”

Section: Discussionmentioning

confidence: 99%

Mosaicking Copernicus Sentinel-1 Data at Global Scale

Syrris

Corbane

Pesaresi

et al. 2020

IEEE Trans. Big Data

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This paper presents a processing chain for handling big volume of remotely sensing data for generating wide extent mosaics. More specifically, the data under consideration are level-1 ground range detected Sentinel-1 products with dual polarisation (VV+VH or HH+HV). Two approaches for a) distribution discretization accompanied by false color composition and b) image rendering and mosaicking are proposed. While these two components are necessary constituents of the presented mosaicking workflow, they can operate independently of each other. The design of the processing chain satisfies three objectives: i) contrasting derivative products of the input Sentinel-1 imagery such as the Global Human Settlement Layer, ii) adapting on a high-throughput computing system for fast execution, and iii) allowing potential extensions to more complex applications such as the image classification. Fast processing, process automation, incremental adjustment and information distinction are the main advantages of the proposed method. Elaboration and focus on these features are carried out during the presentation of the results.

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“…This approach (see [76] for a complete review) is generally more robust and flexible than the pixel-based one. However, it introduces several challenges related to proper image segmentation and to the retrieval of relevant attributes from objects [75,77,78]. This makes it difficult to be introduced in multidisciplinary operative contexts.…”

Section: Classic Sar Multi-temporal Pre-processing and Change Detection Approachesmentioning

confidence: 99%

Earth Environmental Monitoring Using Multi-Temporal Synthetic Aperture Radar: A Critical Review of Selected Applications

et al. 2021

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Microwave remote sensing has widely demonstrated its potential in the continuous monitoring of our rapidly changing planet. This review provides an overview of state-of-the-art methodologies for multi-temporal synthetic aperture radar change detection and its applications to biosphere and hydrosphere monitoring, with special focus on topics like forestry, water resources management in semi-arid environments and floods. The analyzed literature is categorized on the base of the approach adopted and the data exploited and discussed in light of the downstream remote sensing market. The purpose is to highlight the main issues and limitations preventing the diffusion of synthetic aperture radar data in both industrial and multidisciplinary research contexts and the possible solutions for boosting their usage among end-users.

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RGB SAR products: methods and applications

Cited by 9 publications

References 23 publications

Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery

Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery

Mosaicking Copernicus Sentinel-1 Data at Global Scale

Earth Environmental Monitoring Using Multi-Temporal Synthetic Aperture Radar: A Critical Review of Selected Applications

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