Mathematical principles of remote sensing : making inferences from noisy data /
01
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Formatua: | |
Hizkuntza: | eng |
Argitaratua: |
Chelsea, MI : Sleeping Bear Press,
1999
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Gaiak: |
_version_ | 1826363764516061184 |
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author | 246229 Milman, Andrew S |
author_facet | 246229 Milman, Andrew S |
author_sort | 246229 Milman, Andrew S |
collection | OCEAN |
description | 01 |
first_indexed | 2024-03-04T14:39:43Z |
format | |
id | KOHA-OAI-TEST:43773 |
institution | Universiti Teknologi Malaysia - OCEAN |
language | eng |
last_indexed | 2024-03-04T14:39:43Z |
publishDate | 1999 |
publisher | Chelsea, MI : Sleeping Bear Press, |
record_format | dspace |
spelling | KOHA-OAI-TEST:437732020-12-19T16:58:01ZMathematical principles of remote sensing : making inferences from noisy data / 246229 Milman, Andrew S Chelsea, MI : Sleeping Bear Press,1999eng01PSZJBLRemote sensingURN:ISBN:1575041359 (hbk.) |
spellingShingle | Remote sensing 246229 Milman, Andrew S Mathematical principles of remote sensing : making inferences from noisy data / |
title | Mathematical principles of remote sensing : making inferences from noisy data / |
title_full | Mathematical principles of remote sensing : making inferences from noisy data / |
title_fullStr | Mathematical principles of remote sensing : making inferences from noisy data / |
title_full_unstemmed | Mathematical principles of remote sensing : making inferences from noisy data / |
title_short | Mathematical principles of remote sensing : making inferences from noisy data / |
title_sort | mathematical principles of remote sensing making inferences from noisy data |
topic | Remote sensing |
work_keys_str_mv | AT 246229milmanandrews mathematicalprinciplesofremotesensingmakinginferencesfromnoisydata |