A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data
This paper describes a simple, iterative atmospheric correction procedure based on the MODTRAN<sup>®</sup>5 radiative transfer code. Such a procedure receives in input a spectrally resolved at-sensor radiance image, evaluates the different contributions to received radiation, and correct...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/9/1799 |
| _version_ | 1827693287532658688 |
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| author | Donatella Guzzi Vanni Nardino Cinzia Lastri Valentina Raimondi |
| author_facet | Donatella Guzzi Vanni Nardino Cinzia Lastri Valentina Raimondi |
| author_sort | Donatella Guzzi |
| collection | DOAJ |
| description | This paper describes a simple, iterative atmospheric correction procedure based on the MODTRAN<sup>®</sup>5 radiative transfer code. Such a procedure receives in input a spectrally resolved at-sensor radiance image, evaluates the different contributions to received radiation, and corrects the effect of adjacency from surrounding pixels permitting the retrieval of ground reflectance spectrum for each pixel of the image. The procedure output is a spectral ground reflectance image obtained without the need of any user-provided a priori hypothesis. The novelty of the proposed method relies on its iterative approach for evaluating the contribution of surrounding pixels: a first run of the atmospheric correction procedure is performed by assuming that the spectral reflectance of the surrounding pixels is equal to that of the pixel under investigation. Such information is used in the subsequent iteration steps to estimate the spectral radiance of the surrounding pixels, in order to make a more accurate evaluation of the reflectance image. The results are here presented and discussed for two different cases: synthetic images produced with the hyperspectral simulation tool PRIMUS and real images acquired by CHRIS–PROBA sensor. The retrieved reflectance error drops after a few iterations, providing a quantitative estimate for the number of iterations needed. Relative error after the procedure converges is in the order of few percent, and the causes of remaining uncertainty in retrieved spectra are discussed. |
| first_indexed | 2024-03-10T11:41:33Z |
| format | Article |
| id | doaj.art-9025ef3ac5464604890a612aef36b98b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:41:33Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9025ef3ac5464604890a612aef36b98b2023-11-21T18:28:55ZengMDPI AGRemote Sensing2072-42922021-05-01139179910.3390/rs13091799A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed DataDonatella Guzzi0Vanni Nardino1Cinzia Lastri2Valentina Raimondi3“Nello Carrara” Institute of Applied Physics—National Research Council, I-50019 Sesto Fiorentino, Italy“Nello Carrara” Institute of Applied Physics—National Research Council, I-50019 Sesto Fiorentino, Italy“Nello Carrara” Institute of Applied Physics—National Research Council, I-50019 Sesto Fiorentino, Italy“Nello Carrara” Institute of Applied Physics—National Research Council, I-50019 Sesto Fiorentino, ItalyThis paper describes a simple, iterative atmospheric correction procedure based on the MODTRAN<sup>®</sup>5 radiative transfer code. Such a procedure receives in input a spectrally resolved at-sensor radiance image, evaluates the different contributions to received radiation, and corrects the effect of adjacency from surrounding pixels permitting the retrieval of ground reflectance spectrum for each pixel of the image. The procedure output is a spectral ground reflectance image obtained without the need of any user-provided a priori hypothesis. The novelty of the proposed method relies on its iterative approach for evaluating the contribution of surrounding pixels: a first run of the atmospheric correction procedure is performed by assuming that the spectral reflectance of the surrounding pixels is equal to that of the pixel under investigation. Such information is used in the subsequent iteration steps to estimate the spectral radiance of the surrounding pixels, in order to make a more accurate evaluation of the reflectance image. The results are here presented and discussed for two different cases: synthetic images produced with the hyperspectral simulation tool PRIMUS and real images acquired by CHRIS–PROBA sensor. The retrieved reflectance error drops after a few iterations, providing a quantitative estimate for the number of iterations needed. Relative error after the procedure converges is in the order of few percent, and the causes of remaining uncertainty in retrieved spectra are discussed.https://www.mdpi.com/2072-4292/13/9/1799atmospheric correctioniterative procedureadjacency effectshyperspectral imagers |
| spellingShingle | Donatella Guzzi Vanni Nardino Cinzia Lastri Valentina Raimondi A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data Remote Sensing atmospheric correction iterative procedure adjacency effects hyperspectral imagers |
| title | A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data |
| title_full | A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data |
| title_fullStr | A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data |
| title_full_unstemmed | A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data |
| title_short | A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data |
| title_sort | fast iterative procedure for adjacency effects correction on remote sensed data |
| topic | atmospheric correction iterative procedure adjacency effects hyperspectral imagers |
| url | https://www.mdpi.com/2072-4292/13/9/1799 |
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