Registration of multispectral images remains a challenging task due to the lack of stable feature points. Methods based on intensities are generally more robust for multi-modal image registration, but are computationally demanding or are restrictive to the transformation model allowed in the registration. This paper proposes a new registration framework which overcomes these drawbacks. The proposed method optimizes the location of a set of virtual landmarks in order to get robust and accurate registration
Hyperspectral imaging can generate spatial chemical information in plants. The imaging acquisition s...
Confronted with the climate change challenge and the territorial constraints, agriculture has to mod...
Image registration is the process of estimating the optimal transformation that aligns different ima...
Registration of multispectral images remains a challenging task due to the lack of stable feature po...
Abstract With the introduction of high-throughput multisensory imaging platforms, the automatization...
This paper presents a novel method for multispectral aerial image registration. Different bands of m...
Registration of complex and self-similar images such as plant canopy images is a challenge in plant ...
Modern facilities for high-throughput phenotyping provide plant scientists with a large amount of mu...
International audienceNowadays, precision agriculture and precision viticulture are under strong dev...
The objective of this thesis was to develop an automated labeling system for RGB images (red green b...
Image registration is one of the basic image processing oper-ations in remote sensing. With the incr...
Image registration is the process of aligning two or more images of the same scene taken at differen...
Image registration is the process of aligning two or more images of the same scene taken at differen...
The objective of this thesis was to develop an automated labeling system for RGB images (red green b...
AbstractFor multispectral imagery, spatial registration between bands is a very important part of th...
Hyperspectral imaging can generate spatial chemical information in plants. The imaging acquisition s...
Confronted with the climate change challenge and the territorial constraints, agriculture has to mod...
Image registration is the process of estimating the optimal transformation that aligns different ima...
Registration of multispectral images remains a challenging task due to the lack of stable feature po...
Abstract With the introduction of high-throughput multisensory imaging platforms, the automatization...
This paper presents a novel method for multispectral aerial image registration. Different bands of m...
Registration of complex and self-similar images such as plant canopy images is a challenge in plant ...
Modern facilities for high-throughput phenotyping provide plant scientists with a large amount of mu...
International audienceNowadays, precision agriculture and precision viticulture are under strong dev...
The objective of this thesis was to develop an automated labeling system for RGB images (red green b...
Image registration is one of the basic image processing oper-ations in remote sensing. With the incr...
Image registration is the process of aligning two or more images of the same scene taken at differen...
Image registration is the process of aligning two or more images of the same scene taken at differen...
The objective of this thesis was to develop an automated labeling system for RGB images (red green b...
AbstractFor multispectral imagery, spatial registration between bands is a very important part of th...
Hyperspectral imaging can generate spatial chemical information in plants. The imaging acquisition s...
Confronted with the climate change challenge and the territorial constraints, agriculture has to mod...
Image registration is the process of estimating the optimal transformation that aligns different ima...