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Paper Citation Record · LEDGER

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1909.01868.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.01868 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:11:12.813306Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acf11fe3-d30b-44be-b33a-8fc20afd7b08 · outbound

This paper cites Hooper, A., Segall, P., and Zebker, H.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Hooper, A., Segall, P., and Zebker, H.,

Reference 5

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This paper cites Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Reference 6

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This paper cites Hu, Y., Li, X., Zhou, N., Yang, L., Peng, L., Xiao, S.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Hu, Y., Li, X., Zhou, N., Yang, L., Peng, L., Xiao, S.,

Reference 7

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Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Unresolved cited work

Reference 8

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Observation 8a43b9e7-d7d1-4606-b08e-17e4abddd7d5 · outbound

This paper cites Jefkine,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Jefkine,

Reference 9

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Observation 237eb9e0-b5f4-4482-a9c2-8fb90aa558ad · outbound

This paper cites Johnson and Karpathy,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Johnson and Karpathy,

Reference 10

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Observation 823e35c6-a888-42c1-9e03-22a39a01f0b6 · outbound

This paper cites Johnson, J.M.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Johnson, J.M

Reference 11

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Observation a9f0979d-2810-4753-b262-87da5ffc9589 · outbound

This paper cites Subsidence in the Kathmandu Basin, before and after the 2015 Mw 7.8 Gorkha Earthquake, Nepal Reveal ed from Small Baseline Subset -DInSAR Analysis.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Subsidence in the Kathmandu Basin, before and after the 2015 Mw 7.8 Gorkha Earthquake, Nepal Reveal ed from Small Baseline Subset -DInSAR Analysis

Reference 13

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Observation d57486f8-ac65-4494-b610-4001c5c33a23 · outbound

This paper cites American Journal of Theoretical and Applied Statistics.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing American Journal of Theoretical and Applied Statistics

Reference 14

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Observation c6d2fa35-14f4-46e6-8f12-0a8377d16d58 · outbound

This paper cites Lotter, W., Kreiman, G., and Cox, D.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Lotter, W., Kreiman, G., and Cox, D.,

Reference 15

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Observation 1191519c-1ce6-48f4-9592-1dbaaa6c3cfa · outbound

This paper cites Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Reference 16

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Observation 6518eff1-a242-4a2e-b122-58d261abeca5 · outbound

This paper cites Notti, D., Meisina, C., Zucca, F., Colombo, A.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Notti, D., Meisina, C., Zucca, F., Colombo, A.,

Reference 17

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Observation 562ee424-fcf9-4279-a0bb-daa2cc58076a · outbound

This paper cites Sarkar, S.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Sarkar, S.,

Reference 19

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Observation af98e2c2-3fb4-4566-90bd-82cd7c732372 · outbound

This paper cites Schmitt, M., Hughes, L.H., Zhu, X.X.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Schmitt, M., Hughes, L.H., Zhu, X.X.,

Reference 20

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Observation 5c0afd6c-3eb0-4210-b2d3-aff979840c4e · outbound

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Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Unresolved cited work

Reference 21

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Observation 424ca29a-0ab2-497b-ae85-4ed242d39733 · outbound

This paper cites Skalski, P.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Skalski, P.,

Reference 22

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Observation 06b3cebd-7c94-412e-a6b5-f971885261ce · outbound

This paper cites Stack Overflow,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Stack Overflow,

Reference 23

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Observation de3d9c91-38ca-460c-826f-31cc0add47dc · outbound

This paper cites Tiwari, S.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Tiwari, S.,

Reference 24

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Observation 927c96c7-810f-4494-aa69-63404efad6be · outbound

This paper cites Teunissen, P.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Teunissen, P

Reference 25

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Observation f792289d-fd6d-4377-b0fe-0b7bc78c284d · outbound

This paper cites Vincent, D and Visin, F.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Vincent, D and Visin, F.,

Reference 26

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Observation c5b9ac1e-3bc1-4a8a-b968-3d24c97f4fd7 · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing A guide to convolution arithmetic for deep learning

Reference 27

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Observation 1e5062eb-12a6-4809-9716-cdb87b7f6026 · outbound

This paper cites Zhong, L., Hu, L., Zhou, H.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Zhong, L., Hu, L., Zhou, H.,

Reference 28

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verified exact
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Observation 708ee233-4fb2-487f-9eb5-f82947f3e045 · outbound

This paper cites Zhu, X.X., Tuia, D., Mou, L., Xia, G.S., Zhang, L., Xu, F., Fraundorfer, F.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Zhu, X.X., Tuia, D., Mou, L., Xia, G.S., Zhang, L., Xu, F., Fraundorfer, F.,

Reference 29

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Observation afe46279-1e8d-42f2-ab3b-adb4fd32725e · outbound

This paper cites Krishnan, P.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Krishnan, P

Reference 2005

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Observation ed107418-dd27-476f-b950-048d0594aa23 · outbound

This paper cites Sabinasz, D.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Sabinasz, D.,

Reference 2011

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Observation b24806bc-8c67-4ecf-9f3b-3de2c8454fa9 · outbound

This paper cites Ferretti, A., Prati, C., and Rocca, F.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Ferretti, A., Prati, C., and Rocca, F.,

Reference 2016

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Observation 6014f36e-afe2-4985-a046-e97d4bb38cb1 · outbound

This paper cites Data Science Stack Exchange,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Data Science Stack Exchange,

Reference 2017

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Observation 913ee891-e535-4f4a-8b43-a0db2c45293b · outbound

This paper cites Brownlee, J.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Brownlee, J.,

Reference 2018

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Observation 06596d27-9c89-47bc-af84-3f6295dc9499 · outbound

This paper cites Brownlee, J.,.

Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing Brownlee, J.,

Reference 2019

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

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