Analysis And Processing of LANDSAT-4 Sensor Data Using Advanced Image Processing Techniques And Technologies

Bernstein, Ralph; Lotspoech, Jeffery B.; Myers, H. Joseph; Kolsky, Harwood G.; Lees, Robert D.

doi:10.1109/tgrs.1984.350594

Cited by 61 publications

(15 citation statements)

References 7 publications

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“…It is necessary to correct this inter-channel noise before further enhancing the images. Several methods described baloew have been devised for removing this form of noise 10,12 .…”

Section: Interchannel Noise Removal Techniquesmentioning

confidence: 99%

“…Bernstein, 12 et al developed the noise-removal technique to remove both kinds of noises-striping and a herring bone noise pattern, due to coherent noise from the satellite's 32 kHz switching power supply superimposed on the detector signal. There are the following two methods to remove a coherent noise source of a known frequency:…”

Section: Noise-removal Techniquementioning

confidence: 99%

“…In this algorithm, 12 they arbitrarily partitioned the incoming signal line into adjacent cells containing three pixels each. Within the cells, the pixels are called A, B and C. The algorithm then attempts to determine, for each cell, whether the noise signal is in synchronisation with the A, B or C pixel.…”

Section: Noise-removal Techniquementioning

confidence: 99%

“…The algorithm by Bernstein 12 , et al to remove a coherent noise in the spatial domain has some drawbacks. First, the algorithm arbitrarily partitions the incoming signal line into adjacent cells containing three pixels each.…”

Section: Noise-removal Techniquementioning

confidence: 99%

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Line Pattern Removal and Enhancement Technique for MultichannelPassive Millimeter Wave Sensor Images

Chaudhuri

Savitha

Gohri

2007

DSJ

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Passive millimeter wave (PMMW) imaging systems have attracted an increasing interest over the past years due to their superior poor-weather performance compared with visible and IR systems. In passive imaging, the spatial information acquired is strictly band-limited. A major drawback to PMMW images is their poor angular resolution. Also, another problem of singlechannel PMMW imaging systems is the slow response time due to the lack of thermal sensitivity. The imager could operate at TV (television) rates using a number of parallel channels which may reduce the extent of this problem. In multi-channel, differences between the responses of individual channels can introduce noise into the image, which can obscure details of interest. The proposed noise-removal technique is a two-pass combined method of two techniques. One technique is for removing the DC component in the frequency domain and the other one is statistical filtering based on homogeneous region in the image (spatial) domain, followed by high-boost filtering by 3×3 mask for enhancement the image. High quality images are presented to demonstrate the potential of this technique.

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“…It is necessary to correct this inter-channel noise before further enhancing the images. Several methods described baloew have been devised for removing this form of noise 10,12 .…”

Section: Interchannel Noise Removal Techniquesmentioning

confidence: 99%

Section: Noise-removal Techniquementioning

confidence: 99%

Section: Noise-removal Techniquementioning

confidence: 99%

Section: Noise-removal Techniquementioning

confidence: 99%

See 2 more Smart Citations

Line Pattern Removal and Enhancement Technique for MultichannelPassive Millimeter Wave Sensor Images

Chaudhuri

Savitha

Gohri

2007

DSJ

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show abstract

“…Another study done by Bernstein et al [27] on TN! imagery shows agreement between these two methods of misregistration measurement, as presented in Table :3.l.…”

Section: Class-3mentioning

confidence: 97%

Image Restoration For Improved Spectral Unmixing

Schowengerdt²

[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium

Analysis And Processing of LANDSAT-4 Sensor Data Using Advanced Image Processing Techniques And Technologies

Cited by 61 publications

References 7 publications

Line Pattern Removal and Enhancement Technique for MultichannelPassive Millimeter Wave Sensor Images

Line Pattern Removal and Enhancement Technique for MultichannelPassive Millimeter Wave Sensor Images

Image Restoration For Improved Spectral Unmixing

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