šSalle des thĆØses, IRIT – Toulouse (France)
š Wed. 25 September 2024 – 11:00 (Fr time) | 12:00 (Ro time)
https://univ-tlse2.zoom.us/j/98366074118?pwd=VFVOdVdacTdtSzVNelhvei9Wa3FOQT09
Hyperspectral satellite imaging offers high spectral resolution images of a scene in hundreds of narrow spectral bands. This remote sensing technique proves to be very useful in many Earth Observation applications such as agriculture crop health assessment, land cover mapping and other tasks. The first part of the talk, after a brief presentation of the authorās research activity, shows some results on the semi-automatic estimation of the Shannon-Weaver biodiversity index in hyperspectral images. The purpose is the qualitative analysis of grassland areas. After an image segmentation based on histogram thresholding of spectral angle mapper (SAM) values, we compute the entropy for the pixels belonging to the segmented grassland areas using a clustering approach. The second part of the talk presents a weakly supervised framework for early identification of autumn wheat in PRISMA images.