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1. |
Record Nr. |
UNINA9910131262903321 |
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Autore |
Burga Manuel |
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Titolo |
Choquequirao : Símbolo de la resistencia andina (historia, antropología y lingüística) |
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Pubbl/distr/stampa |
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Lima, : Institut français d’études andines, 2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (228 p.) |
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Altri autori (Persone) |
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LomnéGeorges |
Meza BMario |
Meza BazánMario |
Ramírez PonceAbdie |
TorresEunice Cortez |
BurgaManuel |
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Soggetti |
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Geography |
History & Archaeology |
archéologie |
Pérou |
époque coloniale |
époque précolombienne |
ethnie |
histoire |
Incas |
culture inca |
Apurímac |
arqueología |
cultura Inca |
período colonial |
período precolombino |
grupo étnico |
historia |
Perú |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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La residencia construida para el último Inca y su familia red con técnicas y manos Chachapoyas, en un lugar tan remoto como el que ocupa Machu Picchu, es ahora conocida como Complejo Arqueológico Choquequirao. Huayna Cápac nunca la ocupó, pero sí sus descendientes, quienes resistieron el poder y la religión de un rey desconocido; así, durante 36 años fue extraña a los asedios de los conquistadores y escenario de convivencia de la élite inca con las etnias antis, amazónicas. Choquequirao se muestra hoy al mundo desde las alturas del distrito de Santa Teresa, La Convención, Cusco, como pétreo símbolo de la resistencia andina y nuevo icono de la identidad peruana. |
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2. |
Record Nr. |
UNINA9910557383103321 |
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Autore |
Lukin Vladimir |
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Titolo |
Remote Sensing Data Compression |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (366 p.) |
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Soggetti |
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Technology: general issues |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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A huge amount of data is acquired nowadays by different remote sensing systems installed on satellites, aircrafts, and UAV. The acquired data then have to be transferred to image processing centres, stored and/or delivered to customers. In restricted scenarios, data compression is strongly desired or necessary. A wide diversity of coding methods can be used, depending on the requirements and their priority. In addition, the types and properties of images differ a lot, thus, practical implementation aspects have to be taken into account. The Special Issue paper collection taken as basis of this book touches on all of the aforementioned items to some degree, giving the reader an opportunity to learn about recent developments and research |
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directions in the field of image compression. In particular, lossless and near-lossless compression of multi- and hyperspectral images still remains current, since such images constitute data arrays that are of extremely large size with rich information that can be retrieved from them for various applications. Another important aspect is the impact of lossless compression on image classification and segmentation, where a reasonable compromise between the characteristics of compression and the final tasks of data processing has to be achieved. The problems of data transition from UAV-based acquisition platforms, as well as the use of FPGA and neural networks, have become very important. Finally, attempts to apply compressive sensing approaches in remote sensing image processing with positive outcomes are observed. We hope that readers will find our book useful and interesting |
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