Search Results - "Sgrenzaroli, M"

INNOVATIVE AND EFFICIENT DATA CENSUS ON A CLOUD BASED DIGITAL TWIN PROVIDED BY MOBILE MAPPING by Vassena, G. P. M., Sgrenzaroli, M.

“…The article introduces the use of modern indoor mobile mapping systems (iMMS) equipped with a high resolution photographic camera, for the realization of asset…”
Get full text

TARGETLESS REGISTRATION METHODS BETWEEN UAV LIDAR AND WEARABLE MMS POINT CLOUDS by Perfetti, L., Vassena, G. P. M., Fassi, F., Sgrenzaroli, M.

“…Fixed-wing Unmanned Aerial Vehicles (UAV) and wearable or portable Mobile Mapping Systems (MMS) are two widely used platforms for point cloud acquisition with…”
Get full text

ACCURATE 3D MODEL OF VENICE: PRESERVING HISTORICAL DATA AND INTRODUCING SLAM IMMS FOR CHANGE DETECTION AND UPDATING PROCEDURES by Vassena, G. P. M., Fellin, A., Mainardi, A., Perfetti, L., Cavallari, L., Sgrenzaroli, M., Roggeri, S., Fassi, F.

“…The Municipality of Venice, through Insula srl (Insula, 2024), started the RAMSES (Rilievo Altimetrico, Modellazione Spaziale E Scansione 3D) project in 2005…”
Get full text

INDOOR MOBILE MAPPING SYSTEMS AND (BIM) DIGITAL MODELS FOR CONSTRUCTION PROGRESS MONITORING by Sgrenzaroli, M, J Ortiz Barrientos, Vassena, G, Sanchez, A, Ciribini, A, Ventura, S Mastrolembo, Comai, S

“…Technological developments of the last decades are making possible to speed up different processes involved in construction projects. It is noticeable what…”
Get full text

A novel approach to the classification of regional-scale Radar mosaics for tropical vegetation mapping by Sgrenzaroli, M., Baraldi, A., De Grandi, G.D., Eva, H., Achard, F.

“…The Global Rain Forest Mapping (GRFM) radar mosaics, generated from L-band Japanese Earth Resources Satellite 1 imagery downsampled to 100-m pixel size,…”
Get full text

Tropical forest cover monitoring: Estimates from the GRFM JERS-1 radar mosaics using wavelet zooming techniques and validation by Sgrenzaroli, M., De Grandi, G. F., Eva, H., Achard, F.

“…The usefulness of the Global Rain Forest Mapping (GRFM) radar mosaics over South America for tropical forest mapping is assessed in quantitative terms…”
Get full text

Contextual clustering for image labeling: an application to degraded forest assessment in Landsat TM images of the Brazilian Amazon by Sgrenzaroli, M., Baraldi, A., Eva, H., De Grandi, G., Achard, F.

“…The modified adaptive pappas clustering (MPAC) algorithm, previously published in the image processing literature, is proposed as a valuable tool in the…”
Get full text

land cover map of South America by Eva, H.D, Belward, A.S, Miranda, E.E. de, Di Bella, C.M, Gond, V, Huber, O, Jones, S, Sgrenzaroli, M, Fritz, S

“…A digital land cover map of South America has been produced using remotely sensed satellite data acquired between 1995 and the year 2000. The mapping scale is…”
Get full text

A vegetation map of the Central Congo basin derived from microwave and optical remote sensing data using a variable resolution classification approach by De Grandi, G.F., Mayaux, P., Massart, M., Baraldi, A., Sgrenzaroli, M.

“…A vegetation map of the Central Congo basin was derived from observations performed by several imaging orbital instruments. These are the synthetic aperture…”
Get full text

High-resolution tropical forest mapping of the Amazon basin: a novel classification approach for the GRFM radar mosaic by Sgrenzaroli, M., Baraldi, A., De Grandi, G.F., Achard, F., Eva, H.

“…The high resolution (100 m) Global Rain Forest Mapping (GRFM) radar mosaics, providing a spatially continuous coverage of entire ecosystems, pave the way to…”
Get full text

Tropical forest cover monitoring: estimates from the GRFM JERS-1 radar mosaics using wavelet zooming techniques and validation: The global rain forest mapping project by SGRENZAROLI, M, DE GRANDI, G. F, EVA, H, ACHARD, F

Get full text

Singularity analysis with wavelets in polarimetric SAR imagery for vegetation mapping applications by De Grandi, G.F., Lee, J.S., Schuler, D., Simard, M., Sgrenzaroli, M., Kattenborn, G., Holecz, F., Pasquali, P.

“…Singularity and non-stationarity in images, such as edges and contours in the deterministic case, or fractal processes in the stochastic case, carry important…”
Get full text