Search Results - "Tochon, G."

Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation by Veganzones, M. A., Tochon, G., Dalla Mura, M., Plaza, A. J., Chanussot, J.

“…The Binary Partition Tree (BPT) is a hierarchical region-based representation of an image in a tree structure. BPT allows users to explore the image at…”
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On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images by Tochon, G., Féret, J.B., Valero, S., Martin, R.E., Knapp, D.E., Salembier, P., Chanussot, J., Asner, G.P.

“…The segmentation of remotely sensed images acquired over tropical forests is of great interest for numerous ecological applications, such as forest inventories…”
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Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression by Drumetz, L., Tochon, G., Veganzones, M. A., Chanussot, J., Jutten, C.

“…Local Spectral Unmixing (LSU) methods perform the unmixing of hyperspectral data locally in regions of the image. The endmembers and their abundances in each…”
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A new extended linear mixing model to address spectral variability by Veganzones, M. A., Drumetz, L., Tochon, G., Dalla Mura, M., Plaza, A., Bioucas-Dias, J., Chanussot, J.

“…Spectral variability is a phenomenon due, to a grand extend, to variations in the illumination and atmospheric conditions within a hyperspectral image, causing…”
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Experimental digital Gabor hologram rendering by a model-trained convolutional neural network by Rivet, J, Taliercio, A, Fang, C, Tochon, G, Géraud, T, Huignard, JP, Atlan, M

“…Digital hologram rendering can be performed by a convolutional neural network, trained with image pairs calculated by numerical wave propagation from sparse…”
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Unmixing-based gas plume tracking in LWIR hyperspectral video sequences by Tochon, G., Pauwels, D., Dalla Mura, M., Chanussot, J.

“…It is now possible to collect hyperspectral video sequences (HVS) at a near real-time frame rate. The wealth of spectral, spatial and temporal information of…”
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From local to global unmixing of hyperspectral images to reveal spectral variability by Tochon, G., Drumetz, L., Veganzones, M. A., Dalla Mura, M., Chanussot, J.

“…The linear mixing model is widely assumed when unmixing hyperspectral images, but it cannot account for endmembers spectral variability. Thus, several…”
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Binary partition tree-based local spectral unmixing by Drumetz, L., Veganzones, M. A., Marrero, R., Tochon, G., Dalla Mura, M., Plaza, A., Chanussot, J.

“…The linear mixing model (LMM) is a widely used methodology for the spectral unmixing (SU) of hyperspectral data. In this model, hyperspectral data is formed as…”
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Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees by Tochon, G., Chanussot, J., Gilles, J., Dalla Mura, M., Chang, J.-M, Bertozzi, A. L.

“…Thanks to the fast development of sensors, it is now possible to acquire sequences of hyperspectral images. Those hyperspectral video sequences are…”
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A comparison study between windowing and binary partition trees for hyperspectral image information mining by Veganzones, M. A., Tochon, G., Dalla Mura, M., Plaza, A. J., Chanussot, J.

“…Remote sensors capture large scenes that are conventionally split in smaller patches before being stored and analyzed. Traditionally, this has been done by…”
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Binary partition tree as a hyperspectral segmentation tool for tropical rainforests by Tochon, G., Feret, J., Martin, R. E., Tupayachi, R., Chanussot, J., Asner, G. P.

“…Individual tree crown delineation in tropical forests is of great interest for ecological applications. In this paper we propose a method for hyperspectral…”
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