Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines
Fundamental image processing methods, such as atmospheric corrections and pansharpening, influence the signal of the pixel. This morphs the spectral signature of target features causing a change in both the final spectra and the way different mapping methods may assign thematic classes. In the curre...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | unknown |
Published: |
Impressions@MAHE
2022
|
Subjects: | |
Online Access: | https://impressions.manipal.edu/open-access-archive/3629 https://doi.org/10.3390/rs14246311 |
id |
ftmanipalacad:oai:impressions.manipal.edu:open-access-archive-4628 |
---|---|
record_format |
openpolar |
spelling |
ftmanipalacad:oai:impressions.manipal.edu:open-access-archive-4628 2023-10-29T02:36:31+01:00 Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines Jawak, Shridhar D. Wankhede, Sagar F. Luis, Alvarinho J. Balakrishna, Keshava 2022-12-01T08:00:00Z https://impressions.manipal.edu/open-access-archive/3629 https://doi.org/10.3390/rs14246311 unknown Impressions@MAHE https://impressions.manipal.edu/open-access-archive/3629 doi:10.3390/rs14246311 Open Access Archive atmospheric corrections geographic object-based image analysis image processing routines pansharpening pixel-based image analysis surface facies of glaciers text 2022 ftmanipalacad https://doi.org/10.3390/rs14246311 2023-09-30T18:34:10Z Fundamental image processing methods, such as atmospheric corrections and pansharpening, influence the signal of the pixel. This morphs the spectral signature of target features causing a change in both the final spectra and the way different mapping methods may assign thematic classes. In the current study, we aim to identify the variations induced by popular image processing methods in the spectral reflectance and final thematic maps of facies. To this end, we have tested three different atmospheric corrections: (a) Quick Atmospheric Correction (QUAC), (b) Dark Object Subtraction (DOS), and (c) Fast Line-of-Sight Atmospheric Analysis of Hypercubes (FLAASH), and two pansharpening methods: (a) Hyperspherical Color Sharpening (HCS) and (b) Gram–Schmidt (GS). WorldView-2 and WorldView-3 satellite images over Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard are tested via spectral subsets in traditional (BGRN1), unconventional (CYRN2), visible to near-infrared (VNIR), and the complete available spectrum (VNIR_SWIR). Thematic mapping was comparatively performed using 12 pixel-based (PBIA) algorithms and 3 object-based (GEOBIA) rule sets. Thus, we test the impact of varying image processing routines, effectiveness of specific spectral bands, utility of PBIA, and versatility of GEOBIA for mapping facies. Our findings suggest that the image processing routines exert an extreme impact on the end spectral reflectance. DOS delivers the most reliable performance (overall accuracy = 0.64) averaged across all processing schemes. GEOBIA delivers much higher accuracy when the QUAC correction is employed and if the image is enhanced by GS pansharpening (overall accuracy = 0.79). SWIR bands have not enhanced the classification results and VNIR band combination yields superior performance (overall accuracy = 0.59). The maximum likelihood classifier (PBIA) delivers consistent and reliable performance (overall accuracy = 0.61) across all processing schemes and can be used after DOS correction without pansharpening, as it ... Text glacier Ny Ålesund Ny-Ålesund Svalbard Impressions@MAHE (Manipal Academy of Higher Education Research) Remote Sensing 14 24 6311 |
institution |
Open Polar |
collection |
Impressions@MAHE (Manipal Academy of Higher Education Research) |
op_collection_id |
ftmanipalacad |
language |
unknown |
topic |
atmospheric corrections geographic object-based image analysis image processing routines pansharpening pixel-based image analysis surface facies of glaciers |
spellingShingle |
atmospheric corrections geographic object-based image analysis image processing routines pansharpening pixel-based image analysis surface facies of glaciers Jawak, Shridhar D. Wankhede, Sagar F. Luis, Alvarinho J. Balakrishna, Keshava Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines |
topic_facet |
atmospheric corrections geographic object-based image analysis image processing routines pansharpening pixel-based image analysis surface facies of glaciers |
description |
Fundamental image processing methods, such as atmospheric corrections and pansharpening, influence the signal of the pixel. This morphs the spectral signature of target features causing a change in both the final spectra and the way different mapping methods may assign thematic classes. In the current study, we aim to identify the variations induced by popular image processing methods in the spectral reflectance and final thematic maps of facies. To this end, we have tested three different atmospheric corrections: (a) Quick Atmospheric Correction (QUAC), (b) Dark Object Subtraction (DOS), and (c) Fast Line-of-Sight Atmospheric Analysis of Hypercubes (FLAASH), and two pansharpening methods: (a) Hyperspherical Color Sharpening (HCS) and (b) Gram–Schmidt (GS). WorldView-2 and WorldView-3 satellite images over Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard are tested via spectral subsets in traditional (BGRN1), unconventional (CYRN2), visible to near-infrared (VNIR), and the complete available spectrum (VNIR_SWIR). Thematic mapping was comparatively performed using 12 pixel-based (PBIA) algorithms and 3 object-based (GEOBIA) rule sets. Thus, we test the impact of varying image processing routines, effectiveness of specific spectral bands, utility of PBIA, and versatility of GEOBIA for mapping facies. Our findings suggest that the image processing routines exert an extreme impact on the end spectral reflectance. DOS delivers the most reliable performance (overall accuracy = 0.64) averaged across all processing schemes. GEOBIA delivers much higher accuracy when the QUAC correction is employed and if the image is enhanced by GS pansharpening (overall accuracy = 0.79). SWIR bands have not enhanced the classification results and VNIR band combination yields superior performance (overall accuracy = 0.59). The maximum likelihood classifier (PBIA) delivers consistent and reliable performance (overall accuracy = 0.61) across all processing schemes and can be used after DOS correction without pansharpening, as it ... |
format |
Text |
author |
Jawak, Shridhar D. Wankhede, Sagar F. Luis, Alvarinho J. Balakrishna, Keshava |
author_facet |
Jawak, Shridhar D. Wankhede, Sagar F. Luis, Alvarinho J. Balakrishna, Keshava |
author_sort |
Jawak, Shridhar D. |
title |
Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines |
title_short |
Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines |
title_full |
Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines |
title_fullStr |
Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines |
title_full_unstemmed |
Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines |
title_sort |
multispectral characteristics of glacier surface facies (chandra-bhaga basin, himalaya, and ny-ålesund, svalbard) through investigations of pixel and object-based mapping using variable processing routines |
publisher |
Impressions@MAHE |
publishDate |
2022 |
url |
https://impressions.manipal.edu/open-access-archive/3629 https://doi.org/10.3390/rs14246311 |
genre |
glacier Ny Ålesund Ny-Ålesund Svalbard |
genre_facet |
glacier Ny Ålesund Ny-Ålesund Svalbard |
op_source |
Open Access Archive |
op_relation |
https://impressions.manipal.edu/open-access-archive/3629 doi:10.3390/rs14246311 |
op_doi |
https://doi.org/10.3390/rs14246311 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
24 |
container_start_page |
6311 |
_version_ |
1781060503571791872 |