SERIES IN REMOTE SENSING – serie
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5 produkter
TELEGEOPROCESSING
Av Yong Xue, Xiran Zhou m. fl.
Inbunden, 2023
1846 kr
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Telegeoprocessing is the integration of remote sensing, Geographic Information System (GIS), Global Navigation Satellite System (GNSS), Big Data and Telecommunication.This unique compendium brings together most of the key issues involved in research in novel systems in telegeoprocessing. It …
SOFT COMPUTING IN REMOTE SENSING DATA ANALYSIS - PROCEEDINGS OF THE INTERNATIONAL WORKSHOP
Av BRIVI BINAGHI ALESSANDRO BRIV A RAMPINI, Elisabetta Binaghi m. fl.
Inbunden, 1996
1556 kr
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Soft computing is a new, emerging discipline rooted in a group of technologies — such as knowledge-based systems, neural networks, fuzzy set theory, probabilistic and evidential approaches, and genetic algorithms — that have the common characteristic of mimicking the remarkable human ability to …
ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES - PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON MULTITEMP 2001
Av BRUZZONE LORENZO, Lorenzo Bruzzone m. fl.
Inbunden, 2002
2657 kr
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The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the next few years. The relevance and timeliness of this issue are directly related to the ever-increasing quantity …
WILDLAND FIRE DANGER ESTIMATION AND MAPPING: THE ROLE OF REMOTE SENSING DATA
Av CHUVIECO EMILIO, Emilio Chuvieco
Inbunden, 2003
2391 kr
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The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the …
ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, PROCEEDINGS OF THE SECOND INTERNATIONAL WORKSHOP ON THE MULTITEMP 2003
Av SMITS PAUL, Paul Smits m. fl.
Inbunden, 2004
2379 kr
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The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of …