Dipòsit Digital de Documents de la UAB 40 registres trobats  1 - 10següentfinal  anar al registre: La cerca s'ha fet en 0.01 segons. 
1.
14 p, 3.3 MB Spatial and spectral pattern identification for the automatic selection of high-quality MODIS images / Pesquer Mayos, Lluís (Centre de Recerca Ecològica i Aplicacions Forestals) ; Domingo Marimon, Cristina (Centre de Recerca Ecològica i Aplicacions Forestals) ; Pons, Xavier (Universitat Autònoma de Barcelona. Departament de Geografia)
Remote sensing is providing an increasing number of crucial data about Earth. Systematic revisitation time allows the analysis of long time series as well as imagery utilization in the most interesting moments. [...]
2019 - 10.1117/1.JRS.13.014510
Journal of applied remote sensing, Vol. 13, issue 1 (2019) , art 014510  
2.
16 p, 4.4 MB Oil palm (Elaeis guineensis) mapping with details : smallholder versus industrial plantations and their extent in riau, Sumatra / Descals, Adrià (Centre de Recerca Ecològica i Aplicacions Forestals) ; Szantoi, Zoltan (Stellenbosch University) ; Meijaard, Erik (Borneo Future) ; Sutikno, Harsono (Austindo Nusantara Jaya Tbk) ; Rindanata, Guruh (Austindo Nusantara Jaya Tbk) ; Wich, Serge (Liverpool John Moores University. School of Biological and Environmental Sciences)
Oil palm is rapidly expanding in Southeast Asia and represents one of the major drivers of deforestation in the region. This includes both industrial-scale and smallholder plantations, the management of which entails specific challenges, with either operational scale having its own particular social and environmental challenges. [...]
2019 - 10.3390/rs11212590
Remote sensing, Vol. 11, issue 21 (Nov. 2019) , art. 2590  
3.
18 p, 635.9 KB Compression of hyperspectral scenes through integer-to-integer spectral graph transforms+ / Tzamarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Chow, Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Hyperspectral images are depictions of scenes represented across many bands of the electromagnetic spectrum. The large size of these images as well as their unique structure requires the need for specialized data compression algorithms. [...]
2019 - 10.3390/rs11192290
Remote sensing, Vol. 11, issue 19 (Oct. 2019) , art. 2290  
4.
24 p, 1.2 MB Using predictive and differential methods with K2-Raster compact data structure for hyperspectral image lossless compression / Chow, Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Tzamarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
This paper proposes a lossless coder for real-time processing and compression of hyperspectral images. After applying either a predictor or a differential encoder to reduce the bit rate of an image by exploiting the close similarity in pixels between neighboring bands, it uses a compact data structure called k-raster to further reduce the bit rate. [...]
2019 - 10.3390/rs11212461
Remote sensing, Vol. 11, Issue 21 (November 2019) , art. 2461  
5.
16 p, 2.4 MB Influence of landscape heterogeneity and spatial resolution in multi-temporal in situ and MODIS NDVI data proxies for seasonal GPP dynamics / Balzarolo, Manuela (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i Aplicacions Forestals) ; Veroustraete, Frank (University of Antwerp. Department of Bioscience Engineering)
The objective of this paper was to evaluate the use of in situ normalized difference vegetation index (NDVI) and Moderate Resolution Imaging Spectroradiometer NDVI (NDVI) time series data as proxies for ecosystem gross primary productivity (GPP) to improve GPP upscaling. [...]
2019 - 10.3390/rs11141656
Remote sensing, Vol. 11, issue 14 (July 2019) , art. 1656  
6.
18 p, 4.5 MB Retrieval of high spatiotemporal resolution leaf area index with Gaussian processes, wireless sensor network, and satellite data fusion / Yin, Gaofei (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Verger Ten, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Qu, Yonghua (Beijing Normal University. Institute of Remote Sensing Science and Engineering) ; Zhao, Wei (Chinese Academy Sciences. Institute of Mountain Hazards and Environment) ; Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ; Zeng, Yelu (Carnegie Institution for Science. Department of Global Ecology) ; Liu, Ke (Sichuan Academy of Agricultural Science. Institute of Remote Sensing Application) ; Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Liu, Qinhuo (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth)
Many applications, including crop growth and yield monitoring, require accurate long-term time series of leaf area index (LAI) at high spatiotemporal resolution with a quantification of the associated uncertainties. [...]
2019 - 10.3390/rs11030244
Remote sensing, Vol. 11, Issue 3 (February 2019) , art. 244  
7.
Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Laparra, Valero (Universitat de València. Laboratori de Processament d'imatges) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Calbet, Xavier (AEMET) ; Camps Valls, Gustau (Universitat de València. Laboratori de Processament d'imatges)
In this paper, we analyze the effect of spatial and spectral compression on the performance of statistically based retrieval. Although the quality of the information is not com- pletely preserved during the coding process, experiments reveal that a certain amount of compression may yield a positive impact on the accuracy of retrievals. [...]
2019 - 10.1109/TGRS.2019.2901396
IEEE transactions on geoscience and remote sensing, Vol. 57, Issue 8 (August 2019) , p. 5651 - 5668  
8.
Competitive Segmentation Performance on Near-lossless and Lossy Compressed Remote Sensing Images / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Pinho, Armando J. (University of Aveiro. Signal Processing Laboratory) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Image segmentation lies at the heart of multiple image processing chains, and achieving accurate segmentation is of utmost importance as it impacts later processing. Image segmentation has recently gained interest in the field of remote sensing, mostly due to the widespread availability of remote sensing data. [...]
2019 - 10.1109/LGRS.2019.2934997
IEEE geoscience and remote sensing letters, (August 2019)  
9.
Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression / Álvarez-Cortés, Sara (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Marcellin, Michael W. (University of Arizona)
Regression wavelet analysis (RWA) is one of the current state-of-the-art lossless compression techniques for remote sensing data. This article presents the first regression-based near-lossless compression method. [...]
2019 - 10.1109/TGRS.2019.2940553
IEEE transactions on geoscience and remote sensing, (October 2019)  
10.
16 p, 909.5 KB Performance impact of parameter tuning on the CCSDS-123.0-B-2 low-complexity lossless and near-lossless multispectral and Hyperspectral Image Compression standard / Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Kiely, Aaron (California Institute of Technology (Estats Units d'Amèrica)) ; Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
This article studies the performance impact related to different parameter choices for the new CCSDS-123. 0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression standard. [...]
2019 - 10.3390/rs11111390
Remote sensing, Vol. 11, Issue 11 (June 2019) , art. 1390  

Dipòsit Digital de Documents de la UAB : 40 registres trobats   1 - 10següentfinal  anar al registre:
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