Advanced Image Processing Techniques by Kumar Kanagala (8 results)

Author
Title
Refine with Advanced Search

Refine your search

  • Books (8)

  • New (8)

to

Custom price range (US$)

to

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6206781798 / 9786206781790

      • Softcover

      Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

      4-star seller
      Contact seller

      Condition: New

      US$ 111.96

      US$ 3.99 shipping 
      Ships within U.S.A.

      Quantity: 4 available

      Condition: New.

    • Condition: New

      US$ 80.49

      US$ 81.40 shipping 
      Ships from Germany to U.S.A.

      Quantity: 5 available

      Taschenbuch. Condition: Neu. Advanced Image Processing Techniques for Remote Sensing Applications | A Systematic Approach to Estimate Crop Yield using NOAA/Landsat 8 Satellites Data Through Denoising and Enhancement | Kanagala Sateesh Kumar (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206781790 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Sep 2023, 2023

      6206781798 / 9786206781790

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

      5-star seller
      Contact seller

      Condition: New

      US$ 95.70

      US$ 26.74 shipping 
      Ships from Germany to U.S.A.

      Quantity: 2 available

      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area. 168 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6206781798 / 9786206781790

      • Softcover
      • Print on Demand

      Seller: Majestic Books, Hounslow, United KingdomMajestic Books

      4-star seller
      Contact seller

      Condition: New

      US$ 115.16

      US$ 8.81 shipping 
      Ships from United Kingdom to U.S.A.

      Quantity: 4 available

      Condition: New. Print on Demand.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6206781798 / 9786206781790

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

      5-star seller
      Contact seller

      Condition: New

      US$ 73.23

      US$ 56.97 shipping 
      Ships from Germany to U.S.A.

      Quantity: Over 20 available

      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar Kanagala SateeshK Sateesh Kumar, working as an Assistant Professor in SNIST, Hyderabad. His interested areas are Digital Image Processing, Remote Sensing and Machine Learning etc. Prof. G. Sreenivasulu, working as Professor in .

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6206781798 / 9786206781790

      • Softcover
      • Print on Demand

      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

      4-star seller
      Contact seller

      Condition: New

      US$ 124.08

      US$ 11.57 shipping 
      Ships from Germany to U.S.A.

      Quantity: 4 available

      Condition: New. PRINT ON DEMAND.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Sep 2023, 2023

      6206781798 / 9786206781790

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

      5-star seller
      Contact seller

      Condition: New

      US$ 95.70

      US$ 69.77 shipping 
      Ships from Germany to U.S.A.

      Quantity: 1 available

      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2023

      6206781798 / 9786206781790

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

      5-star seller
      Contact seller

      Condition: New

      US$ 96.85

      US$ 71.33 shipping 
      Ships from Germany to U.S.A.

      Quantity: 1 available

      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.