Abstract: Methods are provided for automatically performing atmospheric compensation of a multi or hyper spectral image. One method comprises transforming at least two endmembers extracted from an image into at-ground reflectance. The transformation may be approximate and/or only in certain spectral bands in order to reduce processing time. A matching component is then located in a spectral library for each of the at least two extracted endmembers. Gain and offset values are then calculated using the at least two matched extracted endmember and spectral library component pairs. At least part of the image is then compensated using the calculated gain and offset values. Another method uses at least one endmember extracted from the image and a black level. Methods for atmospheric compensation using water vapor content of pixels are also provided. In addition, methods for shadow correction of hyper and multi spectral images are provided.

Abstract: Methods are provided for automatically performing atmospheric compensation of a multi or hyper spectral image. One method comprises transforming at least two endmembers extracted from an image into at-ground reflectance. The transformation may be approximate and/or only in certain spectral bands in order to reduce processing time. A matching component is then located in a spectral library for each of the at least two extracted endmembers. Gain and offset values are then calculated using the at least two matched extracted endmember and spectral library component pairs. At least part of the image is then compensated using the calculated gain and offset values. Another method uses at least one endmember extracted from the image and a black level. Methods for atmospheric compensation using water vapor content of pixels are also provided. In addition, methods for shadow correction of hyper and multi spectral images are provided.

Abstract: Methods are provided for automatically performing atmospheric compensation of a multi or hyper spectral image. One method comprises transforming at least two endmembers extracted from an image into at-ground reflectance. The transformation may be approximate and/or only in certain spectral bands in order to reduce processing time. A matching component is then located in a spectral library for each of the at least two extracted endmembers. Gain and offset values are then calculated using the at least two matched extracted endmember and spectral library component pairs. At least part of the image is then compensated using the calculated gain and offset values. Another method uses at least one endmember extracted from the image and a black level. Methods for atmospheric compensation using water vapor content of pixels are also provided. In addition, methods for shadow correction of hyper and multi spectral images are provided.

Abstract: Methods are provided for automatically performing atmospheric compensation of a multi or hyper spectral image. One method comprises transforming at least two endmembers extracted from an image into at-ground reflectance. The transformation may be approximate and/or only in certain spectral bands in order to reduce processing time. A matching component is then located in a spectral library for each of the at least two extracted endmembers. Gain and offset values are then calculated using the at least two matched extracted endmember and spectral library component pairs. At least part of the image is then compensated using the calculated gain and offset values. Another method uses at least one endmember extracted from the image and a black level. Methods for atmospheric compensation using water vapor content of pixels are also provided. In addition, methods for shadow correction of hyper and multi spectral images are provided.

Abstract: Methods are provided for automatically performing atmospheric compensation of a multi or hyper spectral image. One method comprises transforming at least two endmembers extracted from an image into at-ground reflectance. The transformation may be approximate and/or only in certain spectral bands in order to reduce processing time. A matching component is then located in a spectral library for each of the at least two extracted endmembers. Gain and offset values are then calculated using the at least two matched extracted endmember and spectral library component pairs. At least part of the image is then compensated using the calculated gain and offset values. Another method uses at least one endmember extracted from the image and a black level. Methods for atmospheric compensation using water vapor content of pixels are also provided. In addition, methods for shadow correction of hyper and multi spectral images are provided.

Abstract: Methods are provided for automatically performing atmospheric compensation of a multi or hyper spectral image. One method comprises transforming at least two endmembers extracted from an image into at-ground reflectance. The transformation may be approximate and/or only in certain spectral bands in order to reduce processing time. A matching component is then located in a spectral library for each of the at least two extracted endmembers. Gain and offset values are then calculated using the at least two matched extracted endmember and spectral library component pairs. At least part of the image is then compensated using the calculated gain and offset values. Another method uses at least one endmember extracted from the image and a black level. Methods for atmospheric compensation using water vapor content of pixels are also provided. In addition, methods for shadow correction of hyper and multi spectral images are provided.