Mathematical principles of remote sensing : making inferences from noisy data /

01

Xehetasun bibliografikoak
Egile nagusia: 246229 Milman, Andrew S
Formatua:
Hizkuntza:eng
Argitaratua: Chelsea, MI : Sleeping Bear Press, 1999
Gaiak:
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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